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Learning invariant features of tumor signatures., , , , , и . ISBI, стр. 302-305. IEEE, (2012)Deep Learning Models Differentiate Tumor Grades from H&E Stained Histology Sections., , и . EMBC, стр. 620-623. IEEE, (2018)Quantum cascade laser infrared microscopy differentiates malignant phenotypes in breast histology sections., , , , и . ISBI, стр. 831-834. IEEE, (2018)When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections., , , , , и . Medical Image Anal., (2017)Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma., , , , , и . MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 72-80. (2016)Batch-invariant nuclear segmentation in whole mount histology sections., , , , и . ISBI, стр. 856-859. IEEE, (2012)Molecular bases of morphometric composition in Glioblastoma multiforme., , , , , и . ISBI, стр. 1631-1634. IEEE, (2012)Classification of Tumor Histology via Morphometric Context., , , и . CVPR, стр. 2203-2210. IEEE Computer Society, (2013)