yezanting

BiomedGPT

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

I-MedSAM

[ECCV2024] I-MedSAM: Implicit Medical Image Segmentation with Segment Anything

Any2Point

[ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding

McCaD

[WACV2025, Early Accepted] McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis

2D-Medical-Denoising-Diffusion-Probabilistic-Model-

This is the repository for the paper "2D Medical Image Synthesis Using Transformer-based Denoising Diffusion Probabilistic Model".

3DSAM-adapter

Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation

flemme

A flexible and modular learning platform for medical images

U-KAN

[ArXiv' 24] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

UnifiedImplicitAttnRepr

VMamba

VMamba: Visual State Space Models，code is based on mamba

GMS

Official repository of Generative Medical Segmentation

eva

Evaluation framework for oncology foundation models (FMs)

Slicer

Multi-platform, free open source software for visualization and image computing.

Mamba-UNet

Mamba-UNet Zoo

MedMamba

This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

PCB-Defect-Segmentation

Experiment to achieve Few Shot Segmentation of the parts with defects on a PCB

main-module-of-MLN-net

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

SAM-Medical-Imaging

SSL4MIS

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

lstm-time-series-forecasting

Use lstm to solve problem of time-series-forecasting

NetDissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

ICNN

A pytorch implementation of interpretable convolutional neural network.

ResUNetPlusPlus-with-CRF-and-TTA

Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images