cpystan/WSI-VQA
[ECCV 2024] Official Implementation of 《WSI-VQA: Interpreting Whole Slide Image by Generative Question Answering》
This project helps pathologists interpret whole slide images by answering complex clinical questions. It takes digitized pathology slides as input and outputs predictions for carcinoma grading, immunohistochemical biomarker status, and patient survival outcomes in a question-and-answer format. Pathologists and clinical researchers would use this to get faster, AI-assisted insights from gigapixel images.
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Use this if you need an automated system to answer specific clinical questions about whole slide images, such as predicting cancer grades or biomarkers, to aid diagnostic workflows.
Not ideal if you are looking for a general image analysis tool without a focus on diagnostic pathology or if you lack access to pre-processed whole slide image features.
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Python
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Last pushed
Dec 18, 2024
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