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pytorch-ssim

pytorch structural similarity (SSIM) loss

pytorch-suggestive-annotation-a-deep-active-learning-framework-for-biomedical-image-segmentation

pytorch-unsupervised-segmentation

ra-tool

An easy tool for medical image segmentation results analysis

radiomics-features-extractor

Hand-crafted radiomics and deep learning-based radiomcis features extraction.

rank2nuclearsegmentation

Self-supervised learning for nuclear segmentation by learning to rank

review_molecular_profile_prediction_gnn

Spatially-aware Graph Neural Networks and Cross-level Molecular Profile Prediction in Colon Cancer Histopathology: A Retrospective Multicentre Cohort Study，volume 4, number 11, pages: e787-795, The Lancet Digital Health, 2022. https://doi.org/10.1016/S2589-7500(22)00168-6

rising

Provides everything needed for high performance data loading and augmentation in pytorch.

robustabod

A large scale robust abdominal organ segmentation dataset and method.

robustnpc

[GreenJournal2023] Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study

rs2nii

An implementation of convert DICOM RT-Struct to mask.

sassnet

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

scribble_saliency

Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020

scwssod

seam

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

seg-uncertainty

IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

segloss

A collection of loss functions for medical image segmentation

segwithdistmap

How distance transform maps can assist medical image segmentation?

singleclassrl

Code for weakly supervised segmentation of a single class

sod-cnns-based-code-summary-

The summary of code and paper for salient object detection with deep learning

topologylayer

A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

torchdistiller

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

ugir

Uncertainty-Guided Interactive Refinement for Segmentation

umis

Official PyTorch implementation of "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network"

unet_plus

pytorch implementation of UNet++（Nested UNet）

unilm

UniLM AI - Unified "Language" Model Pre-training across Tasks, Languages, and Modalities

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.