BMEII-AI / RadImageNet
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
☆361Updated 8 months ago
Alternatives and similar repositories for RadImageNet:
Users that are interested in RadImageNet are comparing it to the libraries listed below
- [NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)☆240Updated 2 weeks ago
- MONAI Model Zoo that hosts models in the MONAI Bundle format.☆218Updated last week
- A curated list of foundation models for vision and language tasks in medical imaging☆236Updated 7 months ago
- medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis☆145Updated 6 months ago
- MRI brain extraction tool☆304Updated last month
- This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medica…☆144Updated 5 months ago
- MONAI Versatile Imaging Segmentation and Annotation☆151Updated 3 weeks ago
- This Repo Will contain the Preprocessing Code for 3D Medical Imaging☆195Updated 4 years ago
- 3D Slicer Plugin for Segment anything in medical images☆197Updated 3 weeks ago
- The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up un…☆300Updated 4 months ago
- A collection of papers about Transformer in the field of medical image analysis.☆467Updated last year
- [ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)☆285Updated 2 weeks ago
- The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"☆236Updated last year
- MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemi…☆222Updated 2 weeks ago
- A package to compute medical segmentation metrics.☆145Updated 6 months ago
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆563Updated 6 months ago
- ☆351Updated last month
- Contrast-agnostic segmentation of MRI scans☆401Updated 6 months ago
- [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.☆374Updated 2 months ago
- UniverSeg: Universal Medical Image Segmentation☆527Updated last year
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆606Updated 2 weeks ago
- ☆319Updated last year
- Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020☆218Updated 3 years ago
- [Nature Machine Intelligence 2024] Code and evaluation repository for the paper☆94Updated 2 months ago
- A 3D Slicer integration to Meta's SAM.☆244Updated 10 months ago
- [MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites☆192Updated last year
- Automated lung segmentation in CT☆679Updated 9 months ago
- Materials for the 2021 MONAI Bootcamp☆108Updated 3 years ago
- Computed tomography to body composition (Comp2Comp).☆67Updated 2 weeks ago
- Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography☆227Updated 3 months ago