Weakly supervised learning for multi-class medical image segmentation via feature decomposition

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh et al. · IEEE Transactions on Medical Imaging · 2019 · 4.1K citations · Full text

Computing, Computer Science, Radiology +17

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras et al. · Scientific Data · 2017 · 3K citations · Full text

Medicine, Oncology, Radiology +17

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, Mauricio Reyes · arXiv (Cornell University) · 2018 · 1.4K citations · Full text

Medicine, Oncology, Radiology +17

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Amber L. Simpson, Michela Antonelli, Spyridon Bakas et al. · arXiv (Cornell University) · 2019 · 717 citations · Full text

Computing, Anatomy, Biomedical Imaging +13

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

Xinggang Wang, Xianbo Deng, Qing Fu et al. · IEEE Transactions on Medical Imaging · 2020 · 654 citations

Computing, Computer Science, Radiology +16