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sam-med2d

Official implementation of SAM-Med2D

seg-nnunet

nnUNet

segment-anything

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.

segment-anything-annotator

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

sgl-retinal-vessel-segmentation

[MICCAI 2021] Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels: New SOTA on both DRIVE and CHASE_DB1.

simple-centerline-extraction

simple-centerline-extraction

ssd

High quality, fast, modular reference implementation of SSD in PyTorch 1.0

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

stable-diffusion-webui

Stable Diffusion web UI

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

stargan

Official PyTorch Implementation of StarGAN - CVPR 2018

superrestoration

SRCNN and FSRCNN

swin-unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tesseract

Tesseract Open Source OCR Engine (main repository)

the-art-of-command-line

Master the command line, in one page

thuthesis

LaTeX Thesis Template for Tsinghua University

toftimecalibrtion

TimeCalibrationoftofpet

totalsegmentator

Tool for robust segmentation of 104 important anatomical structures in CT images

transpro

transunet

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

tricks-of-semi-superviseddeepleanring-pytorch

PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

unet-family

Paper and implementation of UNet-related model.

unetr

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

vesselseg-pytorch

Retinal vessel segmentation toolkit based on pytorch

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

wassersteingan

wsl4mis

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2