메뉴 건너뛰기




Volumn 8, Issue 1, 2018, Pages

Multi-radial LBP Features as a Tool for Rapid Glomerular Detection and Assessment in Whole Slide Histopathology Images

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; BIOPSY; C57BL MOUSE; DIABETIC NEPHROPATHY; GLOMERULUS; HUMAN; IMAGE ENHANCEMENT; MOUSE; PATHOLOGY; PROCEDURES; RAT; REPRODUCIBILITY; STANDARDS; SUPPORT VECTOR MACHINE;

EID: 85041610167     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-018-20453-7     Document Type: Article
Times cited : (77)

References (45)
  • 1
    • 84859996067 scopus 로고    scopus 로고
    • Whole-slide imaging: Routine pathologic diagnosis
    • Cornish, T. C., Swapp, R. E. &Kaplan, K. J. Whole-slide imaging: routine pathologic diagnosis. Adv Anat Pathol 19, 152-159, https:// doi.org/10.1097/PAP.0b013e318253459e (2012).
    • (2012) Adv Anat Pathol , vol.19 , pp. 152-159
    • Cornish, T.C.1    Swapp, R.E.2    Kaplan, K.J.3
  • 2
    • 85041600674 scopus 로고    scopus 로고
    • Digital pathology: An overview
    • Saini, M. L. Digital pathology: an overview. Integr Mol Med., https://doi.org/10.15761/IMM.1000269 (2017).
    • (2017) Integr Mol Med.
    • Saini, M.L.1
  • 3
    • 84964252981 scopus 로고    scopus 로고
    • New trends of emerging technologies in digital pathology
    • Bueno, G., Fernandez-Carrobles, M. M., Deniz, O. &Garcia-Rojo, M. New Trends of Emerging Technologies in Digital Pathology. Pathobiology 83, 61-69, https://doi.org/10.1159/000443482 (2016).
    • (2016) Pathobiology , vol.83 , pp. 61-69
    • Bueno, G.1    Fernandez-Carrobles, M.M.2    Deniz, O.3    Garcia-Rojo, M.4
  • 4
    • 84940027097 scopus 로고    scopus 로고
    • Computer-aided prostate cancer diagnosis from digitized histopathology: A review on texture-based systems
    • Mosquera-Lopez, C., Agaian, S., Velez-Hoyos, A. &Thompson, I. Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems. IEEE Rev Biomed Eng 8, 98-113, https://doi.org/10.1109/RBME.2014.2340401 (2015).
    • (2015) IEEE Rev Biomed Eng , vol.8 , pp. 98-113
    • Mosquera-Lopez, C.1    Agaian, S.2    Velez-Hoyos, A.3    Thompson, I.4
  • 5
    • 84885654901 scopus 로고    scopus 로고
    • CT texture analysis using the filtration-histogram method: What do the measurements mean?
    • Miles, K. A., Ganeshan, B. &Hayball, M. P. CT texture analysis using the filtration-histogram method: what do the measurements mean? Cancer Imaging 13, 400-406, https://doi.org/10.1102/1470-7330.2013.9045 (2013).
    • (2013) Cancer Imaging , vol.13 , pp. 400-406
    • Miles, K.A.1    Ganeshan, B.2    Hayball, M.P.3
  • 6
    • 85016143105 scopus 로고    scopus 로고
    • Dermatologist-level classification of skin cancer with deep neural networks
    • Esteva, A. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115-118, https://doi. org/10.1038/nature21056 (2017).
    • (2017) Nature , vol.542 , pp. 115-118
    • Esteva, A.1
  • 7
    • 85012894180 scopus 로고    scopus 로고
    • A deep matrix factorization method for learning attribute representations
    • Trigeorgis, G., Bousmalis, K., Zafeiriou, S. &Schuller, B. W. A Deep Matrix Factorization Method for Learning Attribute Representations. Ieee T Pattern Anal 39, 417-429, https://doi.org/10.1109/Tpami.2016.2554555 (2017).
    • (2017) Ieee T Pattern Anal , vol.39 , pp. 417-429
    • Trigeorgis, G.1    Bousmalis, K.2    Zafeiriou, S.3    Schuller, B.W.4
  • 9
    • 34047251834 scopus 로고    scopus 로고
    • Histopathology of diabetic nephropathy
    • Fioretto, P. &Mauer, M. Histopathology of diabetic nephropathy. Semin Nephrol 27, 195-207, https://doi.org/10.1016/j. semnephrol.2007.01.012 (2007).
    • (2007) Semin Nephrol , vol.27 , pp. 195-207
    • Fioretto, P.1    Mauer, M.2
  • 10
    • 77950601556 scopus 로고    scopus 로고
    • Pathologic classification of diabetic nephropathy
    • Tervaert, T. W. et al. Pathologic classification of diabetic nephropathy. J Am Soc Nephrol 21, 556-563, https://doi.org/10.1681/ ASN.2010010010 (2010).
    • (2010) J Am Soc Nephrol , vol.21 , pp. 556-563
    • Tervaert, T.W.1
  • 11
    • 84990206435 scopus 로고    scopus 로고
    • Diabetic nephropathy in type 1 diabetes: A review of early natural history, pathogenesis, and diagnosis
    • Papadopoulou-Marketou, N., Chrousos, G. P. &Kanaka-Gantenbein, C. Diabetic nephropathy in type 1 diabetes: a review of early natural history, pathogenesis, and diagnosis. Diabetes Metab Res Rev 33, https://doi.org/10.1002/dmrr.2841 (2017).
    • (2017) Diabetes Metab Res Rev , vol.33
    • Papadopoulou-Marketou, N.1    Chrousos, G.P.2    Kanaka-Gantenbein, C.3
  • 12
    • 84947812071 scopus 로고    scopus 로고
    • Personalized nutrition by prediction of glycemic responses
    • Zeevi, D. et al. Personalized Nutrition by Prediction of Glycemic Responses. Cell 163, 1079-1094, https://doi.org/10.1016/j. cell.2015.11.001 (2015).
    • (2015) Cell , vol.163 , pp. 1079-1094
    • Zeevi, D.1
  • 13
    • 85007529863 scopus 로고    scopus 로고
    • Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
    • Gulshan, V. et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA 316, 2402-2410, https://doi.org/10.1001/jama.2016.17216 (2016).
    • (2016) JAMA , vol.316 , pp. 2402-2410
    • Gulshan, V.1
  • 14
    • 84898714478 scopus 로고    scopus 로고
    • Rapid automated diagnosis of diabetic peripheral neuropathy with in vivo corneal confocal microscopy
    • Petropoulos, I. N. et al. Rapid automated diagnosis of diabetic peripheral neuropathy with in vivo corneal confocal microscopy. Invest Ophthalmol Vis Sci 55, 2071-2078, https://doi.org/10.1167/iovs.13-13787 (2014).
    • (2014) Invest Ophthalmol Vis Sci , vol.55 , pp. 2071-2078
    • Petropoulos, I.N.1
  • 15
    • 84942572607 scopus 로고    scopus 로고
    • Segmental HOG: New descriptor for glomerulus detection in kidney microscopy image
    • ARTN 31610.1186/s12859-015-0739-1
    • Kato, T. et al. Segmental HOG: new descriptor for glomerulus detection in kidney microscopy image. Bmc Bioinformatics 16, doi:ARTN 31610.1186/s12859-015-0739-1 (2015).
    • (2015) Bmc Bioinformatics , vol.16
    • Kato, T.1
  • 17
    • 84962431653 scopus 로고    scopus 로고
    • Evaluating color texture descriptors under large variations of controlled lighting conditions
    • Cusano, C., Napoletano, P. &Schettini, R. Evaluating color texture descriptors under large variations of controlled lighting conditions. Journal of the Optical Society of America A 33, 17 (2016).
    • (2016) Journal of the Optical Society of America A , vol.33 , pp. 17
    • Cusano, C.1    Napoletano, P.2    Schettini, R.3
  • 18
    • 85014497258 scopus 로고    scopus 로고
    • Unsupervised labeling of glomerular boundaries using Gabor filters and statistical testing in renal histology
    • Ginley, B., Tomaszewski, J. E., Yacoub, R., Chen, F. &Sarder, P. Unsupervised labeling of glomerular boundaries using Gabor filters and statistical testing in renal histology. J Med Imaging (Bellingham) 4, 021102, https://doi.org/10.1117/1.JMI.4.2.021102 (2017).
    • (2017) J Med Imaging (Bellingham) , vol.4 , pp. 021102
    • Ginley, B.1    Tomaszewski, J.E.2    Yacoub, R.3    Chen, F.4    Sarder, P.5
  • 19
    • 79953890307 scopus 로고    scopus 로고
    • Contour extraction of glomeruli by using genetic algorithm for edge patching
    • Zhang, J., Hu, J. &Zhu, H. Contour extraction of glomeruli by using genetic algorithm for edge patching. IEEJ Transactions on Electrical and Electronic Engineering 6, 229-235, https://doi.org/10.1002/tee.20649 (2011).
    • (2011) IEEJ Transactions on Electrical and Electronic Engineering , vol.6 , pp. 229-235
    • Zhang, J.1    Hu, J.2    Zhu, H.3
  • 22
    • 84870768969 scopus 로고    scopus 로고
    • Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models
    • Klapczynski, M. et al. Computer-assisted imaging algorithms facilitate histomorphometric quantification of kidney damage in rodent renal failure models. J Pathol Inform 3, 20, https://doi.org/10.4103/2153-3539.95456 (2012).
    • (2012) J Pathol Inform , vol.3 , pp. 20
    • Klapczynski, M.1
  • 23
    • 84943414190 scopus 로고    scopus 로고
    • A novel hessian based algorithm for rat kidney glomerulus detection in 3d mri
    • Zhang, M., Wu, T. &Bennett, K. M. A Novel Hessian based Algorithm for Rat Kidney Glomerulus Detection in 3D MRI. Proc Spie 9413, https://doi.org/10.1117/12.2081484 (2015).
    • (2015) Proc Spie 9413
    • Zhang, M.1    Wu, T.2    Bennett, K.M.3
  • 24
    • 84930207118 scopus 로고    scopus 로고
    • Reproducibility crisis: Blame it on the antibodies
    • Baker, M. Reproducibility crisis: Blame it on the antibodies. Nature 521, 274-276, https://doi.org/10.1038/521274a (2015).
    • (2015) Nature , vol.521 , pp. 274-276
    • Baker, M.1
  • 25
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • Ojala, T. et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, 971-987, https://doi.org/10.1109/tpami.2002.1017623 (2002).
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , pp. 971-987
    • Ojala, T.1
  • 27
    • 84874559331 scopus 로고    scopus 로고
    • Multi-dimensional local binary pattern descriptors for improved texture analysis
    • Schaefer, G. &Doshi, N. P. Multi-dimensional Local Binary Pattern Descriptors for Improved Texture Analysis. Int C Patt Recog, 2500-2503 (2012).
    • (2012) C Patt Recog , pp. 2500-2503
    • Schaefer, G.1    Doshi, N.P.2
  • 29
    • 85006455969 scopus 로고    scopus 로고
    • Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features
    • Wan, T., Cao, J., Chen, J. &Qin, Z. Automated grading of breast cancer histopathology using cascaded ensemble with combination of multi-level image features. Neurocomput. 229, 34-44, https://doi.org/10.1016/j.neucom.2016.05.084 (2017).
    • (2017) Neurocomput. , vol.229 , pp. 34-44
    • Wan, T.1    Cao, J.2    Chen, J.3    Qin, Z.4
  • 30
    • 84940972793 scopus 로고    scopus 로고
    • A global covariance descriptor for nuclear atypia scoring in breast histopathology images
    • Khan, A. M., Sirinukunwattana, K. &Rajpoot, N. A Global Covariance Descriptor for Nuclear Atypia Scoring in Breast Histopathology Images. IEEE Journal of Biomedical and Health Informatics 19, 1637-1647, https://doi.org/10.1109/ JBHI.2015.2447008 (2015).
    • (2015) IEEE Journal of Biomedical and Health Informatics , vol.19 , pp. 1637-1647
    • Khan, A.M.1    Sirinukunwattana, K.2    Rajpoot, N.3
  • 31
    • 84992084018 scopus 로고    scopus 로고
    • Automated segmentation of nuclei in breast cancer histopathology images
    • Paramanandam, M. et al. Automated Segmentation of Nuclei in Breast Cancer Histopathology Images. PLoS One 11, e0162053, https://doi.org/10.1371/journal.pone.0162053 (2016).
    • (2016) PLoS One , vol.11 , pp. e0162053
    • Paramanandam, M.1
  • 34
    • 34248216953 scopus 로고    scopus 로고
    • Rodent models of streptozotocin-induced diabetic nephropathy
    • Tesch, G. H. &Allen, T. J. Rodent models of streptozotocin-induced diabetic nephropathy. Nephrology (Carlton) 12, 261-266, https://doi.org/10.1111/j.1440-1797.2007.00796.x (2007).
    • (2007) Nephrology (Carlton) , vol.12 , pp. 261-266
    • Tesch, G.H.1    Allen, T.J.2
  • 38
    • 85041625862 scopus 로고    scopus 로고
    • MATLAB online documentation for "fitcsvm"
    • MATLAB online documentation for "fitcsvm".
  • 39
    • 84964983441 scopus 로고    scopus 로고
    • ArXiv e-prints 1409
    • Szegedy, C. et al. Going Deeper with Convolutions. ArXiv e-prints 1409, http://adsabs.harvard.edu/abs/2014arXiv1409.4842S (2014).
    • (2014) Going Deeper with Convolutions
    • Szegedy, C.1
  • 40
    • 84964679015 scopus 로고    scopus 로고
    • A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression
    • Varma, V. K., Kajdacsy-Balla, A., Akkina, S. K., Setty, S. &Walsh, M. J. A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression. Kidney Int 89, 1153-1159, https://doi.org/10.1016/j. kint.2015.11.027 (2016).
    • (2016) Kidney Int , vol.89 , pp. 1153-1159
    • Varma, V.K.1    Kajdacsy-Balla, A.2    Akkina, S.K.3    Setty, S.4    Walsh, M.J.5
  • 41
    • 84961286227 scopus 로고    scopus 로고
    • Measurement of glomerulus diameter and Bowman's space width of renal albino rats
    • Kotyk, T. et al. Measurement of glomerulus diameter and Bowman's space width of renal albino rats. Comput Methods Programs Biomed 126, 143-153, https://doi.org/10.1016/j.cmpb.2015.10.023 (2016).
    • (2016) Comput Methods Programs Biomed , vol.126 , pp. 143-153
    • Kotyk, T.1
  • 43
    • 84907486549 scopus 로고    scopus 로고
    • The role of texture analysis in imaging as an outcome predictor and potential tool in radiotherapy treatment planning
    • ARTN20140369
    • Alobaidli, S. et al. The role of texture analysis in imaging as an outcome predictor and potential tool in radiotherapy treatment planning. Brit J Radiol 87, doi:ARTN 20140369 https://doi.org/10.1259/bjr.20140369 (2014).
    • (2014) Brit J Radiol , vol.87
    • Alobaidli, S.1
  • 44
    • 85011664830 scopus 로고    scopus 로고
    • Texture analysis of medical images for radiotherapy applications
    • Scalco, E. &Rizzo, G. Texture analysis of medical images for radiotherapy applications. Br J Radiol 90, 20160642, https://doi. org/10.1259/bjr.20160642 (2017).
    • (2017) Br J Radiol , vol.90 , pp. 20160642
    • Scalco, E.1    Rizzo, G.2
  • 45
    • 85018639694 scopus 로고    scopus 로고
    • Metastasis detection from whole slide images using local features and random forests
    • Valkonen, M. et al. Metastasis detection from whole slide images using local features and random forests. Cytometry A 91, 555-565, https://doi.org/10.1002/cyto.a.23089 (2017).
    • (2017) Cytometry A , vol.91 , pp. 555-565
    • Valkonen, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.