icon-lab/MedTrim
Official implementation of "Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models"
This project helps medical researchers and AI developers align medical images with their corresponding radiology text reports. It takes organized directories of medical images (like X-rays or CT scans) and text reports, then processes them to identify relationships between the visual findings and the descriptive text. The output is a highly tuned model that understands how medical images and text relate to each other, useful for tasks like medical image captioning or report generation.
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Use this if you are a machine learning researcher or engineer working with medical data and need to build AI models that can accurately link medical imagery with clinical text descriptions.
Not ideal if you are a medical practitioner looking for a diagnostic tool or a non-technical user without experience in setting up and running machine learning models.
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Language
Python
License
MIT
Category
Last pushed
Mar 19, 2025
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