The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

The repository for paper AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks.

Here are the codes for the "TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping" paper.

This research enhances early disease diagnosis by analyzing retinal blood vessels in fundus images using deep learning. It employs eight pre-trained CNN models and Explainable AI techniques.

An ML model with U-shaped architecture with ResNet50V2 and Vision Transformer based encoders

Projects based on self learning purpose.

Code for our submission to Solafune: Identifying Deforestation Drivers ML competition

Welcome, Awesome-segmentation-in-medical project. This repo is robust, reproducible, and fair benchmarking framework for breast ultrasound (BUS) image segmentation. Features 10+ models (UNet, UNet++, TransUnet, SwinUnet etc.), 5+ datasets, and strict data separation to prevent test set leakage.

Semester 8 Data Science Project: Medical Image Segmentation with Vision Transformers