openmedlab / Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
☆261Updated this week
Related projects: ⓘ
- The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".☆329Updated 5 months ago
- SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image☆464Updated last week
- The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up un…☆264Updated 2 weeks ago
- The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".☆207Updated 4 months ago
- A Survey on CLIP in Medical Imaging☆286Updated last month
- [ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)☆212Updated 2 weeks ago
- We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://ar…☆141Updated 5 months ago
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆560Updated last month
- A curated list of foundation models for vision and language tasks in medical imaging☆181Updated 3 months ago
- 3D Slicer Plugin for Segment anything in medical images☆142Updated 2 weeks ago
- M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models☆164Updated last month
- A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities☆162Updated 3 months ago
- A collection of resources on applications of multi-modal learning in medical imaging.☆459Updated 3 weeks ago
- UniverSeg: Universal Medical Image Segmentation☆503Updated last year
- [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)☆202Updated last month
- The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"☆123Updated 2 weeks ago
- A 3D Slicer integration to Meta's SAM.☆240Updated 5 months ago
- PyTorch implementation for MA-SAM☆109Updated 10 months ago
- EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts☆426Updated 5 months ago
- Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.☆108Updated 5 months ago
- [MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites☆161Updated 10 months ago
- Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2☆335Updated 2 weeks ago
- Ressources of histopathology datasets☆236Updated last month
- A vision-language foundation model for computational pathology - Nature Medicine☆222Updated last month
- Towards a general-purpose foundation model for computational pathology - Nature Medicine☆296Updated last week
- Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation☆148Updated 6 months ago
- MICCAI 2023 Paper (Early Acceptance)☆161Updated 10 months ago
- Papers of Medical Image Analysis on CVPR☆118Updated 3 months ago
- RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning…☆340Updated 4 months ago
- Code and evaluation repository for the paper☆73Updated 4 months ago