메뉴 건너뛰기




Volumn 2, Issue , 2012, Pages

Detection and segmentation of cell nuclei in virtual microscopy images: A minimum-model approach

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGY; CELL NUCLEUS; COMPUTER PROGRAM; HUMAN; IMAGE PROCESSING; METHODOLOGY; MICROSCOPY; ULTRASTRUCTURE;

EID: 84863831692     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep00503     Document Type: Article
Times cited : (203)

References (40)
  • 3
    • 0032305559 scopus 로고    scopus 로고
    • Unsupervised cell nucleus segmentation with active contours
    • PII S0165168498001455
    • Bamford, P. Unsupervised cell nucleus segmentation with active contours. Signal Processing 71, 203-213 (1998). (Pubitemid 128428381)
    • (1998) Signal Processing , vol.71 , Issue.2 , pp. 203-213
    • Bamford, P.1    Lovell, B.2
  • 4
    • 0030646027 scopus 로고    scopus 로고
    • Automated microscopy in diagnostic histopathology: From image processing to automated reasoning
    • Bartels, P. H., Gahm, T. & Thompson, D. Automated microscopy in diagnostic histopathology: From image processing to automated reasoning. Int. J. Imaging Syst. Technol 8, 214-223 (1997). (Pubitemid 127571999)
    • (1997) International Journal of Imaging Systems and Technology , vol.8 , Issue.2 , pp. 214-223
    • Bartels, P.H.1    Gahm, T.2    Thompson, D.3
  • 5
    • 0036791692 scopus 로고    scopus 로고
    • An evolutionary tabu search for cell image segmentation
    • Tianzi Jiang & Faguo Yang. An evolutionary tabu search for cell image segmentation. IEEE Trans. syst. man, Cybern. B 32, 675-678 (2002).
    • (2002) IEEE Trans. Syst. Man Cybern. B , vol.32 , pp. 675-678
    • Jiang, T.1    Yang, F.2
  • 6
    • 0346099401 scopus 로고    scopus 로고
    • Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy
    • Latson, L., Sebek, B. & Powell, K. A. Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy. Anal. Quant. Cytol. Histol 25, 321-331 (2003). (Pubitemid 38044609)
    • (2003) Analytical and Quantitative Cytology and Histology , vol.25 , Issue.6 , pp. 321-331
    • Latson, L.1    Sebek, B.2    Powell, K.A.3
  • 7
    • 84863815142 scopus 로고    scopus 로고
    • Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
    • Naik, S. et al. Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. Biomedical Imaging: From Nano to Macro
    • Biomedical Imaging: From Nano to Macro
    • Naik, S.1
  • 9
    • 0032031330 scopus 로고    scopus 로고
    • A parametric fitting algorithm for segmentation of cell images
    • DOI 10.1109/10.661165
    • Hai-Shan Wu, Barba, J. & Gil, J. A parametric fitting algorithm for segmentation of cell images. IEEE Trans. Biomed. Eng. 45, 400-407 (1998). (Pubitemid 28128665)
    • (1998) IEEE Transactions on Biomedical Engineering , vol.45 , Issue.3 , pp. 400-407
    • Wu, H.-S.1    Barba, J.2    Gil, J.3
  • 10
    • 64549123004 scopus 로고    scopus 로고
    • Automatic segmentation of cell nuclei in bladder and skin tissue for karyometric analysis
    • Korde, V. R., Bartels, H., Ranger-Moore, J.&Barton, J. Automatic segmentation of cell nuclei in bladder and skin tissue for karyometric analysis. Anal Quant Cytol Histol.31, 83-89 (2009).
    • (2009) Anal Quant Cytol Histol , vol.31 , pp. 83-89
    • Korde, V.R.1    Bartels, H.2    Ranger-Moore, J.3    Barton, J.4
  • 11
    • 78650900647 scopus 로고    scopus 로고
    • Immunoratio: A publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and ki-67
    • Tuominen, V. J., Ruotoistenmaki, S., Viitanen, A., Jumppanen, M. & Isola, J. ImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67. Breast Cancer Res 12, R56 (2010).
    • (2010) Breast Cancer Res , vol.12
    • Tuominen, V.J.1    Ruotoistenmaki, S.2    Viitanen, A.3    Jumppanen, M.4    Isola, J.5
  • 12
    • 67349096959 scopus 로고    scopus 로고
    • Microscopic cell nuclei segmentation based on adaptive attention window
    • Ko, B., Seo, M. & Nam, J.-Y. Microscopic cell nuclei segmentation based on adaptive attention window. J Digit Imaging 22, 259-274 (2009).
    • (2009) J Digit Imaging , vol.22 , pp. 259-274
    • Ko, B.1    Seo, M.2    Nam, J.-Y.3
  • 15
    • 79957634923 scopus 로고    scopus 로고
    • Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snake
    • Ko, B. C., Gim, J.-W. & Nam, J.-Y. Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snake. Micron 42, 695-705 (2011).
    • (2011) Micron , vol.42 , pp. 695-705
    • Ko, B.C.1    Gim, J.-W.2    Nam, J.-Y.3
  • 16
    • 79957973445 scopus 로고    scopus 로고
    • Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets
    • Bunyak, F., Hafiane, A. & Palaniappan, K. Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets. Adv. Exp. Med. Biol 696, 413-424 (2011).
    • (2011) Adv. Exp. Med. Biol , vol.696 , pp. 413-424
    • Bunyak, F.1    Hafiane, A.2    Palaniappan, K.3
  • 18
    • 0033894283 scopus 로고    scopus 로고
    • Recognizing multiple overlapping objects in image: An optimal formulation
    • DOI 10.1109/83.821741
    • Li, S. Z. Recognizing multiple overlapping objects in image: an optimal formulation. IEEE Trans Image Process 9, 273-277 (2000). (Pubitemid 30557220)
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.2 , pp. 273-277
    • Li, S.Z.1
  • 19
    • 84863833705 scopus 로고    scopus 로고
    • Doctoral Thesis. Technical University "GHEORGHE ASACHI"
    • Cristian Smochina?. Doctoral Thesis. Technical University "GHEORGHE ASACHI", 2011.
    • (2011) Cristian Smochina?
  • 20
    • 79551685885 scopus 로고    scopus 로고
    • edited by D. Hutchison et al. Springer Berlin Heidelberg, Berlin, Heidelberg
    • Yang, L., Tuzel, O., Meer, P. & Foran, D. J. in Lecture Notes in Computer Science, edited by D. Hutchison et al. (Springer Berlin Heidelberg, Berlin, Heidelberg, 2008), pp. 833-841.
    • (2008) Lecture Notes in Computer Science , pp. 833-841
    • Yang, L.1    Tuzel, O.2    Meer, P.3    Foran, D.J.4
  • 22
    • 79958844030 scopus 로고    scopus 로고
    • An automatic segmentation algorithm for 3D cell cluster splitting using volumetric confocal images
    • INDHUMATHI, C., CAI, Y., GUAN, Y. & OPAS.M. An automatic segmentation algorithm for 3D cell cluster splitting using volumetric confocal images. Journal of Microscopy 243, 60-76 (2011).
    • (2011) Journal of Microscopy , vol.243 , pp. 60-76
    • Indhumathi, C.1    Cai, Y.2    Guan, Y.3    Opas, M.4
  • 23
    • 34547120211 scopus 로고    scopus 로고
    • Quantitative science methods for biomarker validation in chemoprevention trials
    • Freedman, L. Quantitative science methods for biomarker validation in chemoprevention trials. Cancer Biomark 3, 135-140 (2007). (Pubitemid 47103804)
    • (2007) Cancer Biomarkers , vol.3 , Issue.3 , pp. 135-140
    • Freedman, L.1
  • 24
    • 44449153887 scopus 로고    scopus 로고
    • Biomarker validation: In situ analysis of protein expression using semiquantitative immunohistochemistry-based techniques
    • DOI 10.3816/CCC.2008.n.022
    • Sullivan, C. A. W. & Chung, G. G. Biomarker validation: in situ analysis of protein expression using semiquantitative immunohistochemistry-based techniques. Clin Colorectal Cancer 7, 172-177 (2008). (Pubitemid 351758146)
    • (2008) Clinical Colorectal Cancer , vol.7 , Issue.3 , pp. 172-177
    • Sullivan, C.A.W.1    Chung, G.G.2
  • 25
    • 78649825336 scopus 로고    scopus 로고
    • Current and emerging biomarkers in breast cancer: Prognosis and prediction
    • Weigel, M. T. & Dowsett, M. Current and emerging biomarkers in breast cancer: prognosis and prediction. Endocr. Relat. Cancer 17, R245-62 (2010).
    • (2010) Endocr. Relat. Cancer , vol.17
    • Weigel, M.T.1    Dowsett, M.2
  • 26
    • 67650284116 scopus 로고    scopus 로고
    • Consensus recommendations on estrogen receptor testing in breast cancer by immunohistochemistry
    • Yaziji, H. et al.Consensus recommendations on estrogen receptor testing in breast cancer by immunohistochemistry. Appl. Immunohistochem. Mol. Morphol 16, 513-520 (2008).
    • (2008) Appl. Immunohistochem. Mol. Morphol , vol.16 , pp. 513-520
    • Yaziji, H.1
  • 27
    • 77956895978 scopus 로고    scopus 로고
    • Her2 diagnostics in gastric cancer-guideline validation and development of standardized immunohistochemical testing
    • Rüschoff, J. et al. HER2 diagnostics in gastric cancer-guideline validation and development of standardized immunohistochemical testing. Virchows Arch 457, 299-307 (2010).
    • (2010) Virchows Arch , vol.457 , pp. 299-307
    • Rüschoff, J.1
  • 28
    • 40449135065 scopus 로고    scopus 로고
    • HER2-positive breast cancer: From trastuzumab to innovatory anti-HER2 strategies
    • DOI 10.3816/CBC.2008.n.002
    • Whenham, N., D'Hondt, V. & Piccart, M. J. HER2-positive breast cancer: from trastuzumab to innovatory anti-HER2 strategies. Clin. Breast Cancer 8, 38-49 (2008). (Pubitemid 351346229)
    • (2008) Clinical Breast Cancer , vol.8 , Issue.1 , pp. 38-49
    • Whenham, N.1    D'Hondt, V.2    Piccart, M.J.3
  • 29
    • 0025081750 scopus 로고
    • Nuclear morphology and grading in tumours
    • Underwood, J. C. Nuclear morphology and grading in tumours. Curr Top Pathol 82, 1-15 (1990).
    • (1990) Curr Top Pathol , vol.82 , pp. 1-15
    • Underwood, J.C.1
  • 30
    • 0025444265 scopus 로고
    • Ki-67 and other proliferation markers useful for immunohistological diagnostic and prognostic evaluations in human malignancies
    • Gerdes, J. Ki-67 and other proliferation markers useful for immunohistological diagnostic and prognostic evaluations in human malignancies. Semin. Cancer Biol 1, 199-206 (1990).
    • (1990) Semin. Cancer Biol , vol.1 , pp. 199-206
    • Gerdes, J.1
  • 31
    • 77950245872 scopus 로고    scopus 로고
    • Improved automatic detection and segmentation of cell nuclei in histopathology images
    • Al-Kofahi, Y., Lassoued, W., Lee, W. & Roysam, B. Improved automatic detection and segmentation of cell nuclei in histopathology images. IEEE Trans Biomed Eng 57, 841-852 (2010).
    • (2010) IEEE Trans Biomed Eng , vol.57 , pp. 841-852
    • Al-Kofahi, Y.1    Lassoued, W.2    Lee, W.3    Roysam, B.4
  • 32
    • 79960440027 scopus 로고    scopus 로고
    • Cell-based quantification of molecular biomarkers in histopathology specimens
    • Al-Kofahi, Y. et al. Cell-based quantification of molecular biomarkers in histopathology specimens. Histopathology 59, 40-54 (2011).
    • (2011) Histopathology , vol.59 , pp. 40-54
    • Al-Kofahi, Y.1
  • 33
    • 53849089575 scopus 로고    scopus 로고
    • High data output and automated 3D correlative light-electron microscopy method
    • Vicidomini, G. et al. High Data Output and Automated 3D Correlative Light-Electron Microscopy Method. Traffic 9, 1828-1838 (2008).
    • (2008) Traffic , vol.9 , pp. 1828-1838
    • Vicidomini, G.1
  • 34
    • 76749129631 scopus 로고    scopus 로고
    • A novel approach for correlative light electron microscopy analysis
    • Vicidomini, G. et al. A novel approach for correlative light electron microscopy analysis. Microsc. Res. Tech 73, 215-224 (2010).
    • (2010) Microsc. Res. Tech , vol.73 , pp. 215-224
    • Vicidomini, G.1
  • 35
    • 84863815148 scopus 로고
    • Ein zeitoptimaler konturfolgealgorithmus (A time-optimal contour search algorithm). "digitale Bildverarbeitung"
    • Hufnagl, P.&Voss, K. Ein zeitoptimaler Konturfolgealgorithmus (A time-optimal contour search algorithm). "Digitale Bildverarbeitung", Wiss. Beitr. d. TU Dresden, 18-26 (1983).
    • (1983) Wiss. Beitr. D. TU Dresden , vol.18-26
    • Hufnagl, P.1    Voss, K.2
  • 37
    • 84976730298 scopus 로고
    • A new convex hull algorithm for planar sets
    • Eddy, W. F. A New Convex Hull Algorithm for Planar Sets. ACM Trans. Math. Softw. 3, 398-403 (1977).
    • (1977) ACM Trans. Math. Softw. , vol.3 , pp. 398-403
    • Eddy, W.F.1
  • 39
    • 0018306059 scopus 로고
    • Threshold selection method from gray-level histograms
    • OTSU N. A Threshold Selection Method from Gray-Level Histograms. IEEE Trans. Syst. Man, Cybern. 9, 62-66 (1979). (Pubitemid 9413341)
    • (1979) IEEE Trans Syst Man Cybern , vol.SMC-9 , Issue.1 , pp. 62-66
    • Otsu Nobuyuki1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.