[MICCAI 2025 Best Paper Award Runner-up] Learning Segmentation from Radiology Reports

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

[ICCV 2025] AbdomenAtlas 3.0 (9,262 CT volumes + medical reports). These “superhuman” reports are more accurate, detailed, standardized, and generated faster than traditional human-made reports.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

[npj Digital Medicine] The official repository for "Large-Vocabulary Segmentation for Medical Images with Text Prompts"

tiny vision language model

Create Epic Math and Physics Animations & Study Notes From Text and Images.

Official Repo For "Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos"

The best ChatGPT that $100 can buy.

paper list, dataset, and tools for radiology report generation

💫 Toolkit to help you get started with Spec-Driven Development

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

[nature biomedical engineering 2025] Official code for paper: A generalist foundation model and database for open-world medical image segmentation (MedSegX)

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

A universal foundation model for grounded biomedical image interpretation

Train transformer language models with reinforcement learning.

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, GLM4.5, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, InternVL3, Ovis2.5, L…

Reference PyTorch implementation and models for DINOv3

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".

Public repo for HF blog posts

Cross-platform, customizable ML solutions for live and streaming media.

A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

MedSAM2: Segment Anything in 3D Medical Images and Videos