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Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks.

, , and . IEEE J. Biomed. Health Informatics, 25 (2): 348-357 (2021)

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CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images., , , , and . Comput. Methods Programs Biomed., (November 2023)Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images., , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 540-549. Springer, (2021)GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets., , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 171-180. Springer, (2022)Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images., , , , and . Medical Image Anal., (December 2023)Joint categorical and ordinal learning for cancer grading in pathology images., , , and . Medical Image Anal., (2021)SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images., , , , and . IEEE J. Biomed. Health Informatics, 26 (7): 3218-3228 (2022)Scale embedding shared neural networks for multiscale histological analysis of prostate cancer., , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 1095606. SPIE, (2019)Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks., , and . IEEE J. Biomed. Health Informatics, 25 (2): 348-357 (2021)Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images., , , , and . IEEE J. Biomed. Health Informatics, 26 (3): 1152-1163 (2022)