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Volumn 20, Issue 6, 2013, Pages 1099-1108

Pathology imaging informatics for quantitative analysis of whole-slide images

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFACT; CELL STRUCTURE; DECISION SUPPORT SYSTEM; HIDDEN MARKOV MODEL; HISTOGRAM; HISTOPATHOLOGY; HUMAN; IMAGE PROCESSING; IMAGING; MEDICAL INFORMATICS; MICROSCOPY; NUCLEAR SHAPE; QUALITY CONTROL; QUANTITATIVE ANALYSIS; REVIEW; TISSUE SECTION; TUMOR BIOPSY;

EID: 84886247903     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2012-001540     Document Type: Review
Times cited : (223)

References (96)
  • 1
    • 77649272939 scopus 로고    scopus 로고
    • Informatics for practicing anatomical pathologists: marking a new era in pathology practice
    • Gabril MY, Yousef GM. Informatics for practicing anatomical pathologists: marking a new era in pathology practice. Mod Pathol 2010;23:349-58.
    • (2010) Mod Pathol , vol.23 , pp. 349-358
    • Gabril, M.Y.1    Yousef, G.M.2
  • 2
    • 0031381808 scopus 로고    scopus 로고
    • Computational aspects of pathology image classification and retrieval
    • Wetzel A. Computational aspects of pathology image classification and retrieval. J Supercomput 1997;11:279-93.
    • (1997) J Supercomput , vol.11 , pp. 279-293
    • Wetzel, A.1
  • 3
    • 80052324279 scopus 로고    scopus 로고
    • Computational pathology: challenges and promises for tissue analysis
    • Fuchs TJ, Buhmann JM. Computational pathology: challenges and promises for tissue analysis. Comput Med Imaging Graph 2011;35:515-30.
    • (2011) Comput Med Imaging Graph , vol.35 , pp. 515-530
    • Fuchs, T.J.1    Buhmann, J.M.2
  • 4
    • 84886296146 scopus 로고    scopus 로고
    • Biomedical informatics for anatomic pathology
    • In: Cheng L, Bostwick DG, eds. New York: Springer
    • Amin W, Chandran U, Parwani Anil V, et al. Biomedical informatics for anatomic pathology. In: Cheng L, Bostwick DG, eds. Essentials of anatomic pathology. New York: Springer, 2011:469-80.
    • Essentials of anatomic pathology , vol.2011 , pp. 469-480
    • Amin, W.1    Chandran, U.2    Parwani Anil, V.3
  • 6
    • 84875165796 scopus 로고    scopus 로고
    • Pathology imaging informatics for clinical practice and investigative and translational research
    • Sadimin ET, Foran DJ. Pathology imaging informatics for clinical practice and investigative and translational research. N Am J Med Sci (Boston) 2012;5:103-9.
    • (2012) N Am J Med Sci (Boston) , vol.5 , pp. 103-109
    • Sadimin, E.T.1    Foran, D.J.2
  • 7
    • 33244480824 scopus 로고    scopus 로고
    • Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies
    • Ho J, Parwani AV, Jukic DM, et al. Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies. Hum Pathol 2006;37:322-31.
    • (2006) Hum Pathol , vol.37 , pp. 322-331
    • Ho, J.1    Parwani, A.V.2    Jukic, D.M.3
  • 8
    • 84855607097 scopus 로고    scopus 로고
    • Review of the current state of whole slide imaging in pathology
    • Pantanowitz L, Valenstein PN, Evans AJ, et al. Review of the current state of whole slide imaging in pathology. J Pathol Inform 2011;2:36.
    • (2011) J Pathol Inform , vol.2 , pp. 36
    • Pantanowitz, L.1    Valenstein, P.N.2    Evans, A.J.3
  • 9
    • 33644932909 scopus 로고    scopus 로고
    • Role of image informatics in accelerating drug discovery and development
    • Dunkle R. Role of image informatics in accelerating drug discovery and development. Drug Discovery 2003;4:75-82.
    • (2003) Drug Discovery , vol.4 , pp. 75-82
    • Dunkle, R.1
  • 10
    • 3242662498 scopus 로고    scopus 로고
    • The cooperative prostate cancer tissue resource: a specimen and data resource for cancer researchers
    • Melamed J, Datta MW, Becich MJ, et al. The cooperative prostate cancer tissue resource: a specimen and data resource for cancer researchers. Clin Cancer Res 2004;10:4614-21.
    • (2004) Clin Cancer Res , vol.10 , pp. 4614-4621
    • Melamed, J.1    Datta, M.W.2    Becich, M.J.3
  • 11
    • 54549108740 scopus 로고    scopus 로고
    • Comprehensive genomic characterization defines human glioblastoma genes and core pathways
    • McLendon R, Friedman A, Bigner D, et al. Comprehensive genomic characterization defines human glioblastoma genes and core pathways. Nature 2008;455:1061-8.
    • (2008) Nature , vol.455 , pp. 1061-1068
    • McLendon, R.1    Friedman, A.2    Bigner, D.3
  • 12
    • 78650034777 scopus 로고    scopus 로고
    • Towards a knowledge-based human protein atlas
    • Uhlen M, Oksvold P, Fagerberg L, et al. Towards a knowledge-based human protein atlas. Nat Biotechnol 2010;28:1248-50.
    • (2010) Nat Biotechnol , vol.28 , pp. 1248-1250
    • Uhlen, M.1    Oksvold, P.2    Fagerberg, L.3
  • 16
    • 84883840054 scopus 로고    scopus 로고
    • Automated training data generation for microscopy focus classification
    • Gao D, Padfield D, Rittscher J, et al. Automated training data generation for microscopy focus classification. Med Image Comput Comput Assist Interv 2010;13:446-53.
    • (2010) Med Image Comput Comput Assist Interv , vol.13 , pp. 446-453
    • Gao, D.1    Padfield, D.2    Rittscher, J.3
  • 17
    • 78651249766 scopus 로고    scopus 로고
    • Restoration of distorted colour microscopic images from transverse chromatic aberration of imperfect lenses
    • Wu HS, Murray J, Morgello S, et al. Restoration of distorted colour microscopic images from transverse chromatic aberration of imperfect lenses. J Microsc 2011;241:125-31.
    • (2011) J Microsc , vol.241 , pp. 125-131
    • Wu, H.S.1    Murray, J.2    Morgello, S.3
  • 21
    • 80052292123 scopus 로고    scopus 로고
    • Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting
    • Kong H, Gurcan M, Belkacem-Boussaid K. Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting. IEEE Trans Med Imaging 2011;30:1661-77.
    • (2011) IEEE Trans Med Imaging , vol.30 , pp. 1661-1677
    • Kong, H.1    Gurcan, M.2    Belkacem-Boussaid, K.3
  • 22
    • 59349094544 scopus 로고    scopus 로고
    • Computer-aided evaluation of neuroblastoma on whole-slide histology images: classifying grade of neuroblastic differentiation
    • Kong J, Sertel O, Shimada H, et al. Computer-aided evaluation of neuroblastoma on whole-slide histology images: classifying grade of neuroblastic differentiation. Pattern Recognition 2009;42:1080-92.
    • (2009) Pattern Recognition , vol.42 , pp. 1080-1092
    • Kong, J.1    Sertel, O.2    Shimada, H.3
  • 23
    • 84555179528 scopus 로고    scopus 로고
    • A boosted bayesian multi-resolution classifier for prostate cancer detection from digitized needle biopsies
    • Doyle S, Feldman M, Tomaszewski J, et al. A boosted bayesian multi-resolution classifier for prostate cancer detection from digitized needle biopsies. IEEE Trans Biomed Eng 2010;59:1205-18.
    • (2010) IEEE Trans Biomed Eng , vol.59 , pp. 1205-1218
    • Doyle, S.1    Feldman, M.2    Tomaszewski, J.3
  • 25
    • 79952230540 scopus 로고    scopus 로고
    • Removing batch effects in analysis of expression microarray data: An evaluation of six batch adjustment methods
    • Chen C, Grennan K, Badner J, et al. Removing batch effects in analysis of expression microarray data: An evaluation of six batch adjustment methods. PLoS ONE 2011;6:e17238.
    • (2011) PLoS ONE , vol.6
    • Chen, C.1    Grennan, K.2    Badner, J.3
  • 27
    • 77958449045 scopus 로고    scopus 로고
    • Stable feature selection for biomarker discovery
    • He Z, Yu W. Stable feature selection for biomarker discovery. Comput Biol Chem 2010;34:215-25.
    • (2010) Comput Biol Chem , vol.34 , pp. 215-225
    • He, Z.1    Yu, W.2
  • 29
    • 34948819236 scopus 로고    scopus 로고
    • Multifeature prostate cancer diagnosis and gleason grading of histological images
    • Tabesh A, Teverovskiy M, Ho-Yuen P, et al. Multifeature prostate cancer diagnosis and gleason grading of histological images. IEEE Trans on Med Imaging 2007;26:1366-78.
    • (2007) IEEE Trans on Med Imaging , vol.26 , pp. 1366-1378
    • Tabesh, A.1    Teverovskiy, M.2    Ho-Yuen, P.3
  • 31
    • 79551682501 scopus 로고    scopus 로고
    • Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patients
    • In: Metaxas D, Axel L, Fichtinger G, Székely G, eds. Berlin/Heidelberg: Springer
    • Fuchs T, Wild P, Moch H, et al. Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patients. In: Metaxas D, Axel L, Fichtinger G, Székely G, eds. Medical image computing and computer-assisted intervention. Berlin/Heidelberg: Springer, 2008:1-8.
    • Medical image computing and computer-assisted intervention , vol.2008 , pp. 1-8
    • Fuchs, T.1    Wild, P.2    Moch, H.3
  • 32
    • 33846096724 scopus 로고    scopus 로고
    • A framework for medical image retrieval using machine learning and statistical similarity matching techniques with relevance feedback
    • Rahman M, Bhattacharya P, Desai BC. A framework for medical image retrieval using machine learning and statistical similarity matching techniques with relevance feedback. IEEE Trans Inf Technol Biomed 2007;11:58-69.
    • (2007) IEEE Trans Inf Technol Biomed , vol.11 , pp. 58-69
    • Rahman, M.1    Bhattacharya, P.2    Desai, B.C.3
  • 33
    • 67349275440 scopus 로고    scopus 로고
    • Pathminer: a web-based tool for computer-assisted diagnostics in pathology
    • Yang L, Tuzel O, Chen W, et al. Pathminer: a web-based tool for computer-assisted diagnostics in pathology. IEEE Trans Inf Technol Biomed 2009;13:291-9.
    • (2009) IEEE Trans Inf Technol Biomed , vol.13 , pp. 291-299
    • Yang, L.1    Tuzel, O.2    Chen, W.3
  • 34
    • 80052820227 scopus 로고    scopus 로고
    • A method for identification and visualization of histological image structures relevant to the cancer patient conditions
    • In: Real P, Diaz-Pernil D, Molina-Abril H, Berciano A, Kropatsch W, eds. Berlin/Heidelberg: Springer
    • Kovalev V, Dmitruk A, Safonau I, et al. A method for identification and visualization of histological image structures relevant to the cancer patient conditions. In: Real P, Diaz-Pernil D, Molina-Abril H, Berciano A, Kropatsch W, eds. Computer analysis of images and patterns. Berlin/Heidelberg: Springer, 2011: 460-8.
    • Computer analysis of images and patterns , vol.2011 , pp. 460-468
    • Kovalev, V.1    Dmitruk, A.2    Safonau, I.3
  • 35
    • 62349094031 scopus 로고    scopus 로고
    • Automated renal cell carcinoma subtype classification using morphological, textural and wavelets based features
    • Chaudry Q, Raza S, Young A, et al. Automated renal cell carcinoma subtype classification using morphological, textural and wavelets based features. J Signal Processing Syst 2009;55:15-23.
    • (2009) J Signal Processing Syst , vol.55 , pp. 15-23
    • Chaudry, Q.1    Raza, S.2    Young, A.3
  • 36
    • 67649515593 scopus 로고    scopus 로고
    • Automatic classification for pathological prostate images based on fractal analysis
    • Po-Whei H, Cheng-Hsiung L. Automatic classification for pathological prostate images based on fractal analysis. IEEE Trans Med Imaging 2009;28:1037-50.
    • (2009) IEEE Trans Med Imaging , vol.28 , pp. 1037-1050
    • Po-Whei, H.1    Cheng-Hsiung, L.2
  • 38
    • 34447251296 scopus 로고    scopus 로고
    • A methodological approach to the classification of dermoscopy images
    • Celebi ME, Kingravi HA, Uddin B, et al. A methodological approach to the classification of dermoscopy images. Comput Med Imaging Graph 2007; 31:362-73.
    • (2007) Comput Med Imaging Graph , vol.31 , pp. 362-373
    • Celebi, M.E.1    Kingravi, H.A.2    Uddin, B.3
  • 39
    • 62349141165 scopus 로고    scopus 로고
    • Histopathological image analysis using model-based intermediate representations and color texture: Follicular lymphoma grading
    • Sertel O, Kong J, Catalyurek U, et al. Histopathological image analysis using model-based intermediate representations and color texture: Follicular lymphoma grading. J Signal Processing Syst 2009;55:169-83.
    • (2009) J Signal Processing Syst , vol.55 , pp. 169-183
    • Sertel, O.1    Kong, J.2    Catalyurek, U.3
  • 42
    • 33744998910 scopus 로고    scopus 로고
    • Supervised learning-based cell image segmentation for p53 immunohistochemistry
    • Mao K, Zhao P, Tan P. Supervised learning-based cell image segmentation for p53 immunohistochemistry. IEEE Trans Biomed Eng 2006;53:1153-63.
    • (2006) IEEE Trans Biomed Eng , vol.53 , pp. 1153-1163
    • Mao, K.1    Zhao, P.2    Tan, P.3
  • 43
    • 0031455787 scopus 로고    scopus 로고
    • A new method for segmentation of colour images applied to immunohistochemically stained cell nuclei
    • Ranefalla P, Egevadb L, Nordina B, et al. A new method for segmentation of colour images applied to immunohistochemically stained cell nuclei. Anal Cell Pathol 1997;15:145-56.
    • (1997) Anal Cell Pathol , vol.15 , pp. 145-156
    • Ranefalla, P.1    Egevadb, L.2    Nordina, B.3
  • 44
    • 70450285290 scopus 로고    scopus 로고
    • Automatic segmentation of colon glands using object-graphs
    • Gunduz-Demir C, Kandemir M, Tosun A, et al. Automatic segmentation of colon glands using object-graphs. Med Image Anal 2010;14:1-12.
    • (2010) Med Image Anal , vol.14 , pp. 1-12
    • Gunduz-Demir, C.1    Kandemir, M.2    Tosun, A.3
  • 45
    • 77955569128 scopus 로고    scopus 로고
    • High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models
    • Monaco J, Tomaszewski J, Feldman M, et al. High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Med Image Anal 2010;14:617-29.
    • (2010) Med Image Anal , vol.14 , pp. 617-629
    • Monaco, J.1    Tomaszewski, J.2    Feldman, M.3
  • 46
    • 0242456421 scopus 로고    scopus 로고
    • Review of shape representation and description techniques
    • Zhang D, Lu G. Review of shape representation and description techniques. Pattern Recognition 2004;37:1.
    • (2004) Pattern Recognition , vol.37 , pp. 1
    • Zhang, D.1    Lu, G.2
  • 47
    • 84874812053 scopus 로고    scopus 로고
    • Histological image classification using biologically interpretable shape-based features
    • Kothari S, Phan JH, Young AN, et al. Histological image classification using biologically interpretable shape-based features. BMC Medical Imaging 2013;13:9.
    • (2013) BMC Medical Imaging , vol.13 , pp. 9
    • Kothari, S.1    Phan, J.H.2    Young, A.N.3
  • 49
    • 77956939092 scopus 로고    scopus 로고
    • An integrative approach for in silico glioma research
    • Cooper LAD, Jun K, Gutman DA, et al. An integrative approach for in silico glioma research. IEEE Trans Biomed Eng 2010;57:2617-21.
    • (2010) IEEE Trans Biomed Eng , vol.57 , pp. 2617-2621
    • Cooper, L.A.D.1    Jun, K.2    Gutman, D.A.3
  • 51
    • 84864036869 scopus 로고    scopus 로고
    • Computer vision approach to morphometric feature analysis of basal cell nuclei for evaluating malignant potentiality of oral submucous fibrosis
    • Muthu Rama Krishnan M, Pal M, Paul RR, et al. Computer vision approach to morphometric feature analysis of basal cell nuclei for evaluating malignant potentiality of oral submucous fibrosis. J Med Syst 2012;36:1746-56.
    • (2012) J Med Syst , vol.36 , pp. 1746-1756
    • Muthu Rama Krishnan, M.1    Pal, M.2    Paul, R.R.3
  • 53
    • 84898005038 scopus 로고    scopus 로고
    • Ecm-aware cell-graph mining for bone tissue modeling and classification
    • Bilgin CC, Bullough P, Plopper GE, et al. Ecm-aware cell-graph mining for bone tissue modeling and classification. Data Min Knowl Discov 2009;20:416-38.
    • (2009) Data Min Knowl Discov , vol.20 , pp. 416-438
    • Bilgin, C.C.1    Bullough, P.2    Plopper, G.E.3
  • 54
    • 77649084558 scopus 로고    scopus 로고
    • Computerized image-based detection and grading of lymphocytic infiltration in her2+ breast cancer histopathology
    • Basavanhally AN, Ganesan S, Agner S, et al. Computerized image-based detection and grading of lymphocytic infiltration in her2+ breast cancer histopathology. IEEE Trans Biomed Eng 2010;57:642-53.
    • (2010) IEEE Trans Biomed Eng , vol.57 , pp. 642-653
    • Basavanhally, A.N.1    Ganesan, S.2    Agner, S.3
  • 55
    • 0034458620 scopus 로고    scopus 로고
    • New algorithms based on the voronoi diagram applied in a pilot study on normal mucosa and carcinomas
    • Sudbø J, Marcelpoil R, Reith A. New algorithms based on the voronoi diagram applied in a pilot study on normal mucosa and carcinomas. Anal Cell Pathol 2000; 21:71-86.
    • (2000) Anal Cell Pathol , vol.21 , pp. 71-86
    • Sudbø, J.1    Marcelpoil, R.2    Reith, A.3
  • 56
    • 0034529225 scopus 로고    scopus 로고
    • Prognostic value of graph theory-based tissue architecture analysis in carcinomas of the tongue
    • Sudbo J, Bankfalvi A, Bryne M, et al. Prognostic value of graph theory-based tissue architecture analysis in carcinomas of the tongue. Lab Invest 2000;80:1881-9.
    • (2000) Lab Invest , vol.80 , pp. 1881-1889
    • Sudbo, J.1    Bankfalvi, A.2    Bryne, M.3
  • 57
    • 79959713937 scopus 로고    scopus 로고
    • Visual pattern mining in histology image collections using bag of features
    • Cruz-Roa A, Caicedo JC, González FA. Visual pattern mining in histology image collections using bag of features. Artif Intell Med 2011;52:91.
    • (2011) Artif Intell Med , vol.52 , pp. 91
    • Cruz-Roa, A.1    Caicedo, J.C.2    González, F.A.3
  • 58
    • 80053505917 scopus 로고    scopus 로고
    • An analysis of scale and rotation invariance in the bag-of-features method for histopathological image classification
    • In: Fichtinger G, Martel A, Peters T, eds. Berlin/Heidelberg: Springer
    • Raza S, Parry R, Moffitt R, et al. An analysis of scale and rotation invariance in the bag-of-features method for histopathological image classification. In: Fichtinger G, Martel A, Peters T, eds. Medical image computing and computer-assisted intervention. Berlin/Heidelberg: Springer, 2011:66-74.
    • Medical image computing and computer-assisted intervention , vol.2011 , pp. 66-74
    • Raza, S.1    Parry, R.2    Moffitt, R.3
  • 59
    • 79960504796 scopus 로고    scopus 로고
    • A learning-based similarity fusion and filtering approach for biomedical image retrieval using svm classification and relevance feedback
    • Rahman M, Antani S, Thoma G. A learning-based similarity fusion and filtering approach for biomedical image retrieval using svm classification and relevance feedback. IEEE Trans Inf Technol Biomed 2011;15:640-6.
    • (2011) IEEE Trans Inf Technol Biomed , vol.15 , pp. 640-646
    • Rahman, M.1    Antani, S.2    Thoma, G.3
  • 60
    • 79960564716 scopus 로고    scopus 로고
    • Content-based histopathology image retrieval using a kernel-based semantic annotation framework
    • Caicedo JC, González FA, Romero E. Content-based histopathology image retrieval using a kernel-based semantic annotation framework. J Biomed Inform 2011;44:519-28.
    • (2011) J Biomed Inform , vol.44 , pp. 519-528
    • Caicedo, J.C.1    González, F.A.2    Romero, E.3
  • 62
    • 0037332502 scopus 로고    scopus 로고
    • Histological image retrieval based on semantic content analysis
    • Tang HL, Hanka R, Ip HHS. Histological image retrieval based on semantic content analysis. IEEE Trans Inf Technol Biomed 2003;7:26-36.
    • (2003) IEEE Trans Inf Technol Biomed , vol.7 , pp. 26-36
    • Tang, H.L.1    Hanka, R.2    Ip, H.H.S.3
  • 63
    • 79953089752 scopus 로고    scopus 로고
    • A supervised visual model for finding regions of interest in basal cell carcinoma images
    • Gutiérrez R, Gómez F, Roa-Peña L, et al. A supervised visual model for finding regions of interest in basal cell carcinoma images. Diagn Pathol 2011;6:26.
    • (2011) Diagn Pathol , vol.6 , pp. 26
    • Gutiérrez, R.1    Gómez, F.2    Roa-Peña, L.3
  • 64
    • 79953154607 scopus 로고    scopus 로고
    • Learning regions of interest from low level maps in virtual microscopy
    • Romo D, Romero E, González F. Learning regions of interest from low level maps in virtual microscopy. Diagn Pathol 2011;6(SUPPL. 1):S22.
    • (2011) Diagn Pathol , vol.6 , Issue.SUPPL. 1
    • Romo, D.1    Romero, E.2    González, F.3
  • 65
    • 80052326077 scopus 로고    scopus 로고
    • Ensemble based system for whole-slide prostate cancer probability mapping using color texture features
    • DiFranco MD, O'Hurley G, Kay EW, et al. Ensemble based system for whole-slide prostate cancer probability mapping using color texture features. Comput Med Imaging Graph 2011;35:629-45.
    • (2011) Comput Med Imaging Graph , vol.35 , pp. 629-645
    • DiFranco, M.D.1    O'Hurley, G.2    Kay, E.W.3
  • 66
    • 78049263678 scopus 로고    scopus 로고
    • Unsupervised segmentation for inflammation detection in histopathology images
    • In: Elmoataz A, Lezoray O, Nouboud F, Mammass D, Meunier J, eds. Berlin/Heidelberg: Springer
    • Thomas K, Sottile M, Salafia C. Unsupervised segmentation for inflammation detection in histopathology images. In: Elmoataz A, Lezoray O, Nouboud F, Mammass D, Meunier J, eds. Image and signal processing. Berlin/Heidelberg: Springer, 2010:541-9.
    • Image and signal processing , vol.2010 , pp. 541-549
    • Thomas, K.1    Sottile, M.2    Salafia, C.3
  • 67
    • 80052317448 scopus 로고    scopus 로고
    • Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization
    • Roullier V, Lézoray O, Ta VT, et al. Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization. Comput Med Imaging Graph 2011;35:603-15.
    • (2011) Comput Med Imaging Graph , vol.35 , pp. 603-615
    • Roullier, V.1    Lézoray, O.2    Ta, V.T.3
  • 68
    • 83655181438 scopus 로고    scopus 로고
    • Morphometic analysis of tcga glioblastoma multiforme
    • Chang H, Fontenay GV, Han J, et al. Morphometic analysis of tcga glioblastoma multiforme. BMC Bioinformatics 2011;12:484.
    • (2011) BMC Bioinformatics , vol.12 , pp. 484
    • Chang, H.1    Fontenay, G.V.2    Han, J.3
  • 69
    • 84865356550 scopus 로고    scopus 로고
    • An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry
    • Samsi S, Krishnamurthy AK, Gurcan MN. An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry. J Comput Sci 2012;3:269-79.
    • (2012) J Comput Sci , vol.3 , pp. 269-279
    • Samsi, S.1    Krishnamurthy, A.K.2    Gurcan, M.N.3
  • 70
    • 80052312476 scopus 로고    scopus 로고
    • Time-efficient sparse analysis of histopathological whole slide images
    • Huang CH, Veillard A, Roux L, et al. Time-efficient sparse analysis of histopathological whole slide images. Comput Med Imaging Graph 2011;35:579-91.
    • (2011) Comput Med Imaging Graph , vol.35 , pp. 579-591
    • Huang, C.H.1    Veillard, A.2    Roux, L.3
  • 72
    • 0036840216 scopus 로고    scopus 로고
    • Software tools for high-throughput analysis and archiving of immunohistochemistry staining data obtained with tissue microarrays
    • Liu CL, Prapong W, Natkunam Y, et al. Software tools for high-throughput analysis and archiving of immunohistochemistry staining data obtained with tissue microarrays. Am J Pathol 2002;161:1557-65.
    • (2002) Am J Pathol , vol.161 , pp. 1557-1565
    • Liu, C.L.1    Prapong, W.2    Natkunam, Y.3
  • 74
    • 33845781014 scopus 로고    scopus 로고
    • Application of visualization tools to the analysis of histopathological data enhances biological insight and interpretation
    • Lobenhofer EK, Boorman GA, Phillips KL, et al. Application of visualization tools to the analysis of histopathological data enhances biological insight and interpretation. Toxicol Pathol 2006;34:921-8.
    • (2006) Toxicol Pathol , vol.34 , pp. 921-928
    • Lobenhofer, E.K.1    Boorman, G.A.2    Phillips, K.L.3
  • 75
    • 36048961865 scopus 로고    scopus 로고
    • A method for linking computed image features to histological semantics in neuropathology
    • Lessmann B, Nattkemper TW, Hans VH, et al. A method for linking computed image features to histological semantics in neuropathology. J Biomed Inform 2007;40:631-41.
    • (2007) J Biomed Inform , vol.40 , pp. 631-641
    • Lessmann, B.1    Nattkemper, T.W.2    Hans, V.H.3
  • 76
    • 16344380424 scopus 로고    scopus 로고
    • Histological heterogeneity of human glioblastomas investigated with an unsupervised neural network (som)
    • Iglesias-Rozas JR, Hopf N. Histological heterogeneity of human glioblastomas investigated with an unsupervised neural network (som). Histol Histopathol 2005;20:351-6.
    • (2005) Histol Histopathol , vol.20 , pp. 351-356
    • Iglesias-Rozas, J.R.1    Hopf, N.2
  • 77
    • 78049368070 scopus 로고    scopus 로고
    • Color segmentation using self-organizing feature maps (sofms) defined upon color and spatial image space
    • In: Diamantaras K, Duch W, Iliadis L, eds. Berlin/ Heidelberg: Springer
    • Stephanakis I, Anastassopoulos G, Iliadis L. Color segmentation using self-organizing feature maps (sofms) defined upon color and spatial image space. In: Diamantaras K, Duch W, Iliadis L, eds. Artificial neural networks-icann. Berlin/ Heidelberg: Springer, 2010: 500-10.
    • Artificial neural networks-icann , vol.2010 , pp. 500-510
    • Stephanakis, I.1    Anastassopoulos, G.2    Iliadis, L.3
  • 79
    • 33645719375 scopus 로고    scopus 로고
    • Framework for parsing, visualizing and scoring tissue microarray images
    • Rabinovich A, Krajewski S, Krajewska M, et al. Framework for parsing, visualizing and scoring tissue microarray images. IEEE Trans Inf Technol Biomed 2006;10:209-19.
    • (2006) IEEE Trans Inf Technol Biomed , vol.10 , pp. 209-219
    • Rabinovich, A.1    Krajewski, S.2    Krajewska, M.3
  • 80
    • 67749108621 scopus 로고    scopus 로고
    • Virtual microscopy and grid-enabled decision support for large-scale analysis of imaged pathology specimens
    • Yang L, Chen W, Meer P, et al. Virtual microscopy and grid-enabled decision support for large-scale analysis of imaged pathology specimens. IEEE Trans Inf Technol Biomed 2009;13:636-44.
    • (2009) IEEE Trans Inf Technol Biomed , vol.13 , pp. 636-644
    • Yang, L.1    Chen, W.2    Meer, P.3
  • 81
    • 0036250562 scopus 로고    scopus 로고
    • Storage and distribution of pathology digital images using integrated web-based viewing systems
    • Marchevsky AM, Dulbandzhyan R, Seely K, et al. Storage and distribution of pathology digital images using integrated web-based viewing systems. Arch Pathol Lab Med 2002;126:533-9.
    • (2002) Arch Pathol Lab Med , vol.126 , pp. 533-539
    • Marchevsky, A.M.1    Dulbandzhyan, R.2    Seely, K.3
  • 82
    • 46749092090 scopus 로고    scopus 로고
    • Knife-edge scanning microscopy for imaging and reconstruction of three-dimensional anatomical structures of the mouse brain
    • Mayerich D, Abbott L, McCormick B. Knife-edge scanning microscopy for imaging and reconstruction of three-dimensional anatomical structures of the mouse brain. J Microsc 2008;231:134-43.
    • (2008) J Microsc , vol.231 , pp. 134-143
    • Mayerich, D.1    Abbott, L.2    McCormick, B.3
  • 83
    • 78149243509 scopus 로고    scopus 로고
    • Interactive histology of large-scale biomedical image stacks
    • Won-Ki J, Schneider J, Turney SG, et al. Interactive histology of large-scale biomedical image stacks. IEEE Trans Vis Comput Graph 2010;16:1386-95.
    • (2010) IEEE Trans Vis Comput Graph , vol.16 , pp. 1386-1395
    • Won-Ki, J.1    Schneider, J.2    Turney, S.G.3
  • 84
  • 85
    • 79251585567 scopus 로고    scopus 로고
    • Enhanced virtual microscopy for collaborative education
    • Triola MM, Holloway WJ. Enhanced virtual microscopy for collaborative education. BMC Med Educ 2011;11.
    • (2011) BMC Med Educ , pp. 11
    • Triola, M.M.1    Holloway, W.J.2
  • 87
    • 77955569128 scopus 로고    scopus 로고
    • High-throughput detection of prostate cancer in histological sections using probabilistic pairwise markov models
    • Monaco JP, Tomaszewski JE, Feldman MD, et al. High-throughput detection of prostate cancer in histological sections using probabilistic pairwise markov models. Med Image Anal 2010;14:617-29.
    • (2010) Med Image Anal , vol.14 , pp. 617-629
    • Monaco, J.P.1    Tomaszewski, J.E.2    Feldman, M.D.3
  • 88
    • 17644384367 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • Ding C, Peng H. Minimum redundancy feature selection from microarray gene expression data. J Bioinform Comput Biol 2005;3:185-205.
    • (2005) J Bioinform Comput Biol , vol.3 , pp. 185-205
    • Ding, C.1    Peng, H.2
  • 89
    • 84858156243 scopus 로고    scopus 로고
    • Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit
    • Sidiropoulos K, Glotsos D, Kostopoulos S, et al. Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit. Comput Biol Med 2012;42:376-86.
    • (2012) Comput Biol Med , vol.42 , pp. 376-386
    • Sidiropoulos, K.1    Glotsos, D.2    Kostopoulos, S.3
  • 90
    • 84871015639 scopus 로고    scopus 로고
    • Multiscale integration of -omic, imaging, and clinical data in biomedical informatics
    • Phan JH, Quo CF, Cheng C, et al. Multiscale integration of -omic, imaging, and clinical data in biomedical informatics. IEEE Rev Biomed Eng 2012;5:74-87.
    • (2012) IEEE Rev Biomed Eng , vol.5 , pp. 74-87
    • Phan, J.H.1    Quo, C.F.2    Cheng, C.3
  • 91
    • 49649089513 scopus 로고    scopus 로고
    • Computer-aided identification of ovarian cancer in confocal microendoscope images
    • Srivastava S, Rodríguez JJ, Rouse AR, et al. Computer-aided identification of ovarian cancer in confocal microendoscope images. J Biomed Opt 2008;13:024021.
    • (2008) J Biomed Opt , vol.13 , pp. 024021
    • Srivastava, S.1    Rodríguez, J.J.2    Rouse, A.R.3
  • 92
    • 1442288652 scopus 로고    scopus 로고
    • Design and analysis of a content-based pathology image retrieval system
    • Lei Z, Wetzel AW, Gilbertson J, et al. Design and analysis of a content-based pathology image retrieval system. IEEE Trans Inf Technol Biomed 2003;7:249-55.
    • (2003) IEEE Trans Inf Technol Biomed , vol.7 , pp. 249-255
    • Lei, Z.1    Wetzel, A.W.2    Gilbertson, J.3
  • 93
    • 79959644633 scopus 로고    scopus 로고
    • Imageminer: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology
    • Foran DJ, Yang L, Chen W, et al. Imageminer: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. J Am Med Inform Assoc 2011;18:403-15.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 403-415
    • Foran, D.J.1    Yang, L.2    Chen, W.3
  • 94
    • 80055018052 scopus 로고    scopus 로고
    • An active learning based classification strategy for the minority class problem: application to histopathology annotation
    • Doyle S, Monaco J, Feldman M, et al. An active learning based classification strategy for the minority class problem: application to histopathology annotation. BMC Bioinformatics 2011;12:424.
    • (2011) BMC Bioinformatics , vol.12 , pp. 424
    • Doyle, S.1    Monaco, J.2    Feldman, M.3
  • 96
    • 82555178764 scopus 로고    scopus 로고
    • A microscopic telepathology system for multiresolution computer-aided diagnostics
    • Begelman G, Pechuk M, Rivlin E, et al. A microscopic telepathology system for multiresolution computer-aided diagnostics. J Multimed 2006;1.
    • (2006) J Multimed , pp. 1
    • Begelman, G.1    Pechuk, M.2    Rivlin, E.3


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