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Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score.

, , , , , , , and . Medical Imaging: Digital Pathology, volume 10140 of SPIE Proceedings, page 101400O. SPIE, (2017)

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OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes., , , , and . ISBI, page 1423-1426. IEEE, (2018)Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets., , , , , , , , , and 1 other author(s). BrainLes@MICCAI, volume 13769 of Lecture Notes in Computer Science, page 45-56. Springer, (2022)Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations., , , and . ICPR Workshops (1), volume 12661 of Lecture Notes in Computer Science, page 105-119. Springer, (2020)Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing., , , and . ICPR Workshops (1), volume 12661 of Lecture Notes in Computer Science, page 154-166. Springer, (2020)Determining the scale of image patches using a deep learning approach., , , , , , and . ISBI, page 843-846. IEEE, (2018)Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations., , , , , , , , and . COMPAY@MICCAI, volume 156 of Proceedings of Machine Learning Research, page 170-181. PMLR, (2021)Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval., , , , and . MICCAI (5), volume 12265 of Lecture Notes in Computer Science, page 572-581. Springer, (2020)Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images., , , , , , , and . Frontiers Comput. Sci., (2021)H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression., , , , and . ICCVW, page 601-610. IEEE, (2021)Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images., , , and . CVII-STENT/LABELS@MICCAI, volume 10552 of Lecture Notes in Computer Science, page 146-154. Springer, (2017)