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Detecting Covid-19 and Community Acquired Pneumonia Using Chest CT Scan Images With Deep Learning.

, , , , , and . ICASSP, page 8583-8587. IEEE, (2021)

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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)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)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)Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge., , , , , , , , , and 90 other author(s). CoRR, (2024)The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)., , , , , , , , , and 41 other author(s). CoRR, (2023)The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)., , , , , , , , , and 52 other author(s). CoRR, (2023)