mdai/ml-lessons
Intro to deep learning for medical imaging lesson, by MD.ai
These introductory lessons teach you how to build deep learning models for medical imaging. You'll learn to take medical image datasets, like X-rays and CT scans, and train models to classify images, identify specific regions (segmentation), or detect objects of interest, producing tools for automated image analysis. This is for medical imaging specialists, researchers, or data scientists looking to apply AI to diagnostic workflows.
270 stars. No commits in the last 6 months.
Use this if you are a medical professional or researcher wanting to learn and apply deep learning to medical images for tasks like disease detection or anatomical segmentation.
Not ideal if you are looking for a ready-to-use application rather than a learning resource to build your own models.
Stars
270
Forks
137
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 05, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mdai/ml-lessons"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
anmspro/AI-for-Medicine-Specialization
AI for Medicine Specialization - Coursera offered by deeplearning.ai
microsoft/hi-ml
HI-ML toolbox for deep learning for medical imaging and Azure integration
ChanchalKumarMaji/AI-for-Medicine-Specialization-deeplearning.ai
[Coursera] AI for Medicine Specialization by "deeplearning.ai".
isaacmg/healthcare_ml
A curated list of ML|NLP resources for healthcare.
karnaankit/AI-For-Medicine
This repo contains my assignment solutions of AI for Medicine Specialization on Coursera