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 ...
This project implements UNET for image segmentation using PyTorch and Streamlit for the user interface. The application allows users to upload or select test images and visualize predicted masks. .
Abstract: The proliferation of high-resolution medical imaging data, increasingly generated and transmitted via Internet of Medical Things (IoMT) infrastructure, presents significant computational ...
Abstract: Segmentation of the pancreatic computed tomography (CT) image in the Internet of Medical Things (IoMT) environment faces dual challenges of feature robustness and accurate recognition of ...
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