Stars
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024 Oral/ Best Paper Candidate)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.
Official implementation of MedCLIP-SAM (MICCAI 2024)
[EMNLP-2020] The official implementation of Generating Radiology Reports via Memory-driven Transformer.
A collection of resources on applications of multi-modal learning in medical imaging.
MICCAI 2024 & CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
3D U-Net model for volumetric semantic segmentation written in pytorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos ma…
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Official code of the paper "ReDet: A Rotation-Equivariant Detector for Aerial Object Detection" (CVPR 2021)
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
OpenMMLab Pre-training Toolbox and Benchmark
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Implement slightly different caffe-segnet in tensorflow
CenterNet (Objects as Points) implementation in Keras and Tensorflow