most cited3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware

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cs.LG2020

Comparing Different Deep Learning Architectures for Classification of Chest Radiographs

Keno K. Bressem, Lisa Adams, Christoph Erxleben +3

Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify che…