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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images.

, , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1196-1206 (2016)

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Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer., , , , , , , and . CoRR, (2018)A fast method for approximate registration of whole-slide images of serial sections using local curvature., , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410E. SPIE, (2014)Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images., , , , and . CoRR, (2020)A bottom-up approach for tumour differentiation in whole slide images of lung adenocarcinoma., , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810E. SPIE, (2018)Cellular Community Detection for Tissue Phenotyping in Histology Images., , , , and . COMPAY/OMIA@MICCAI, volume 11039 of Lecture Notes in Computer Science, page 120-129. Springer, (2018)Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour., , , , , , , , and . Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting., , , , , , , , , and 79 other author(s). CoRR, (2023)A Stochastic Polygons Model for Glandular Structures in Colon Histology Images., , and . IEEE Trans. Medical Imaging, 34 (11): 2366-2378 (2015)Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations., , , , , , , , , and 17 other author(s). CoRR, (2021)A model of the spatial microenvironment of the colonic crypt., , and . ISBI, page 172-176. IEEE, (2015)