openmedlab / Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
☆377Updated this week
Related projects ⓘ
Alternatives and complementary repositories for Awesome-Medical-Dataset
- The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".☆347Updated 2 weeks ago
- A curated list of foundation models for vision and language tasks in medical imaging☆212Updated 5 months ago
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆580Updated last week
- We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://ar…☆165Updated last month
- A collection of resources on applications of multi-modal learning in medical imaging.☆557Updated last week
- SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image☆523Updated 2 months ago
- The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up un…☆281Updated 2 months ago
- The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".☆245Updated last month
- M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models☆207Updated last month
- A Survey on CLIP in Medical Imaging☆337Updated 3 months ago
- 3D Slicer Plugin for Segment anything in medical images☆173Updated this week
- The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"☆154Updated last week
- [ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)☆254Updated last week
- SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary☆772Updated 3 weeks ago
- EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts☆460Updated 7 months ago
- Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography☆195Updated last month
- Papers of Medical Image Analysis on CVPR☆147Updated 5 months ago
- Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.☆125Updated last month
- PyTorch implementation for MA-SAM☆130Updated last month
- [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)☆217Updated last week
- [MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites☆181Updated last year
- UniverSeg: Universal Medical Image Segmentation☆510Updated last year
- A vision-language foundation model for computational pathology - Nature Medicine☆280Updated 3 months ago
- ☆408Updated 6 months ago
- [ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image☆154Updated last month
- Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2☆479Updated 2 months ago
- Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation☆170Updated 8 months ago
- [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.☆345Updated 3 weeks ago
- RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning…☆347Updated 6 months ago
- ☆82Updated 3 months ago