Abstract:The fragmentation of medical images of tissue anomalies in organs or the blood vascular system is critical for any computerized diagnostic system. Nevertheless, automated segmentation in medical image analysis is complex since it requires in-depth information about the target organ architecture. This paper presents UNet, an end-to-end deep learning segmentation technique for early recognition of COVID. The proposed UNet model is progressive and capable of diagnosing different lung infection types along with CO… Show more
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