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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Colorectal Cancer Segmentation Using Atrous Convolution and Residual Enhanced UNet., , , , and . CVIP (1), volume 1376 of Communications in Computer and Information Science, page 451-462. Springer, (2020)The Federated Tumor Segmentation (FeTS) Challenge., , , , , , , , , and 22 other author(s). CoRR, (2021)REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment., , , , , , , , , and 18 other author(s). CoRR, (2022)Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation., , , , , , , , , and 60 other author(s). CoRR, (2024)ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images., , , , , , , , , and 18 other author(s). CoRR, (2022)BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023., , , , , , , , , and 70 other author(s). CoRR, (2024)Generative Adversarial Networks based Skin Lesion Segmentation., , , , , , and . CoRR, (2023)Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images., , , , and . CVPR Workshops, page 2960-2968. Computer Vision Foundation / IEEE, (2021)Deep Learning Based Novel Cascaded Approach for Skin Lesion Analysis., , , , and . CVIP (1), volume 1776 of Communications in Computer and Information Science, page 615-626. Springer, (2022)