Multi-task Deep Learning Based CT Imaging Analysis For COVID-19: Classification and Segmentation

Amine Amyar; Romain Modzelewski; Su Ruan

In addition to the many advantages of using CT images to spot early COVID-19 patients and isolate them, deep learning methods using CT images can be used as a tool to assist physicians fighting this new spreading disease, as they can be used also to not only classify and segment images in the medical field, but also to predict the outcome of treatment for example [28] . Other powerful tool which come to hand is the use of weakly supervised learning algorithms to classify the image and detect the lesions where only a few datasets are available [29] . These weakly supervied methods can help the progress in the fight against the coronavirus COVID-19 where only few databases are usually available, and physicians are not able to provide many labeled data.