PyTorch implementation of the U-Net for image semantic segmentation with high quality images

PyTorch Implementation for Segmentation and Saliency Prediction

Unofficial Pytorch Implementation of UNet3Plus: A Full-Scale Connected UNet for Medical Image Segmentation

Implemented Unet++ models for medical image segmentation to detect and classify colorectal polyps.

implementation of U-Net like Architecture for Semantic segementation in Pytorch

A PyTorch Implementation of Double-UNet

Code for IMVIP 2024 paper "Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAM"

PyTorch implementation of 3D UNet model for removal of noise from the Electron Density

🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.

UNet and DeepLabV3 for instance segmentation. Starting from a rgb image of a pet the network should output a segmentation mask of the pet. Deep Learning and Generative Models' practical project developed in 2025.