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When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.

C. Zhong, J. Han, A. Borowsky, B. Parvin, Y. Wang, and H. Chang. Medical Image Analysis, (2017)

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An Algebraic Solution to Surface Recovery from Cross-Sectional Contours.G. Cong, and B. Parvin. Graphical Models and Image Processing, 61 (4): 222-243 (1999)Model Based Segmentation of Nuclei.G. Cong, and B. Parvin. CVPR, page 1256-1261. IEEE Computer Society, (1999)BioSig: A Bioinformatic System for Studying the Mechanism of Intra-Cell Signaling.B. Parvin, G. Cong, G. Fontenay, J. Taylor, R. Henshal, and M. Barcellos-Hoff. BIBE, page 281-288. IEEE Computer Society, (2000)Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections.M. Khoshdeli, and B. Parvin. CoRR, (2018)Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network.M. Khoshdeli, and B. Parvin. IEEE Trans. Biomed. Engineering, 65 (3): 625-634 (2018)Linking Changes in Epithelial Morphogenesis to Cancer Mutations Using Computational Modeling.K. Rejniak, S. Wang, N. Bryce, H. Chang, B. Parvin, J. Jourquin, L. Estrada, J. Gray, C. Arteaga, A. Weaver and 2 other author(s). PLoS Computational Biology, (2010)Harmonic Cut and Regularized Centroid Transform for Localization of Subcellular Structures.Q. Yang, and B. Parvin. ICPR (1), page 788-791. IEEE Computer Society, (2002)BioSig: An Imaging Bioinformatic System for Studying Phenomic.B. Parvin, Q. Yang, G. Fontenay, and M. Barcellos-Hoff. IEEE Computer, 35 (7): 65-71 (2002)Prediction of epigenetically regulated genes in breast cancer cell lines.L. Loss, A. Sadanandam, S. Durinck, S. Nautiya, D. Flaucher, V. Carlton, M. Moorhead, Y. Lu, J. Gray, M. Faham and 2 other author(s). BMC Bioinformatics, (2010)Graphical methods for quantifying macromolecules through bright field imaging.H. Chang, R. DeFilippis, T. Tlsty, and B. Parvin. Bioinformatics, 25 (8): 1070-1075 (2009)

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When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.

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When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.