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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.
SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary
Segment Anything in Medical Images
Code Implementation for JointVesselNet (MICCAI 2020) & VC-Net (IEEE TVCG SciVis 2020)
leoxiaobin / CvT
Forked from microsoft/CvTThis is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
Accepted by ISBI 2022
The official code of OCT2Former for Retinal OCT-Angiography vessel segmentation
Representation Learning and Representation Fusion for computer vision, semantic scene understanding, and robotics.
abc5z7 / 996.ICU
Forked from 996icu/996.ICURepo for counting stars and contributing. Press F to pay respect to glorious developers.
Implementation for: DistilPose: Tokenized Pose Regression with Heatmap Distillation (CVPR2023)
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
[JBHI2022] Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Retinal vessel segmentation toolkit based on pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
OpenMMLab Pose Estimation Toolbox and Benchmark.