okunator/cellseg_models.pytorch

InstanSeg is a pytorch-based cell and nucleus segmentation pipeline for fluorescence and brightfield microscopy images.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Deep-learning based semantic and instance segmentation for 3D Electron Microscopy and other bioimage analysis problems based on pytorch.

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

PyTorch Connectomics: segmentation toolbox for EM connectomics

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Neural networks toolbox focused on medical image analysis