Customized implementation of the U-Net in PyTorch for Kaggle's Carvana Image Masking Challenge from high definition images. This model was trained from scratch with 5k images and scored a Dice ...
Abstract: H&E-stained images (HSIs) are widely adopted for revealing cellular structures and capturing morphological changes in nuclear instance segmentation. Despite several studies aimed at ...
Abstract: Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a popular ...
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