aioz-ai/MICCAI21_MMQ
Multiple Meta-model Quantifying for Medical Visual Question Answering (MICCAI 2021)
This project helps medical professionals get accurate answers to clinical questions directly from medical images. You input a medical image (like a pathology slide or radiology scan) and a natural language question about it. The system then provides a precise answer, which can be free-form, yes/no, open-ended, or close-ended, helping with diagnostic or analytical tasks. It is designed for medical researchers, clinicians, or anyone analyzing medical imagery.
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Use this if you need to automatically interpret specific details from medical images by asking questions in plain language, especially for pathology or radiology scans.
Not ideal if your primary need is general image recognition outside of a medical context or if you are not working with medical visual question answering tasks.
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Language
Python
License
MIT
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Last pushed
Oct 12, 2022
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