Abstract:Medical Image Segmentation is a challenging field in the area of Computer Vision.In this work Two deep learning models were explored namely U-Net and ENet.The reason to shortlist U-Net was it is suitable on a small data set and also originally designed for Biomedical Image segmentation. However when compared to ENet it is much slower. To speed up the process of Kidney Tumor segmentation , ENet was shortlisted and also experimented on the data set provided. ENet was very fast as compared to U-Net , However some… Show more
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