Segmentation of Biomedical Images is based on U-Net. This U-Net implementation using Keras and TensorFlow has varying depth that can be specified by model input.

Biomedical Image Segmentation using Unet with PyTorch

Generate Synthetic Shapes in 3D for Biomedical Image Augmentation and Synthesis.

The repo of the ANN's class final project in NCU (Toruń, Poland). It is an implementation of the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation".