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Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
2020
IEEE Transactions on Medical Imaging
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomography (CT) images offers a great potential to augment the traditional healthcare strategy for tackling COVID-19. However, segmenting infected regions from CT slices faces several challenges, including high variation in infection characteristics, and low intensity contrast between infections and normal tissues.
doi:10.1109/tmi.2020.2996645
pmid:32730213
fatcat:227q3yiporecdjxeixcj4jemhe