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eess.IV2021
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas +55
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…
eess.IV2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu, Yukun Cao, Cheng Jin +5
Segmentation of infected areas in chest CT volumes is of great significance for further diagnosis and treatment of COVID-19 patients. Due to the complex shapes and varied appearanc…