abachaa/VQA-Med-2019
Visual Question Answering in the Medical Domain VQA-Med 2019
This project helps medical professionals and researchers quickly get specific information from radiology images. By inputting an image and a natural language question about its Modality, Plane, Organ system, or Abnormality, it outputs a direct answer. It's designed for radiologists, clinicians, and medical AI developers who need to extract visual facts without extensive inference.
No commits in the last 6 months.
Use this if you need to build or evaluate systems that can automatically answer factual questions about medical radiology images.
Not ideal if your questions require complex medical reasoning or knowledge beyond what is directly visible in the image.
Stars
94
Forks
23
Language
—
License
—
Category
Last pushed
Jan 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/abachaa/VQA-Med-2019"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.