Showing 21-40 of 84 projects
A library for semi-supervised learning on medical image segmentation tasks.
An awesome curated list of medical-related AI/ML resources including LLMs, datasets, and benchmarks.
A curated collection of open-source Chinese medical NLP resources including datasets, models, and more.
A collection of medical imaging datasets for researchers and developers in the healthcare industry.
A robust tool for segmentation of over 100 anatomical structures in medical imaging data.
A collection of tutorials for the MONAI open-source AI framework for medical imaging and research.
TorchIO is a Python library for efficient medical image preprocessing and data augmentation for AI applications.
Efficient 3D U-Net model for volumetric semantic segmentation of medical images, built with PyTorch.
A curated list of resources for using Generative Adversarial Networks (GANs) in medical imaging applications.
Swin-Unet is a pure transformer-based model for medical image segmentation, with potential use in AI-powered coding tools.
Provides a series of 3D-ResNet pre-trained models and code for medical imaging deep learning.
This is a PyTorch implementation of a 3D U-Net CNN for medical image segmentation.
Meditron is an open-source suite of medical large language models (LLMs) for healthcare applications.
A curated list of practical guide resources for applying Large Language Models in Medicine
A PyTorch-based deep learning framework for 2D/3D medical image segmentation.
Efficient AI model training on medical images using any deep learning framework.
Open-source zero-footprint medical image viewer library built with JavaScript.
OpenMRS is an open-source Electronic Health Record (EHR) platform focused on healthcare in developing countries.
An offline-first community library platform built on a Raspberry Pi for international development and education.
An AI-powered library for extracting and searching information from scientific and medical papers.
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