jaketae/vit-breast-cancer
Transfer learning pretrained vision transformers for breast histopathology
This project helps pathologists interpret and understand why an AI model makes certain predictions when analyzing breast histopathology images. It takes digitized microscope images of breast tissue as input and outputs model predictions alongside 'attention maps' and 'latent representations' that highlight important visual features, aiding in the diagnostic process. Pathologists can use this to enhance their understanding of AI-assisted diagnoses.
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Use this if you are a pathologist or medical researcher looking for ways to make AI predictions on breast tissue images more transparent and interpretable.
Not ideal if you need a fully automated diagnostic tool without human oversight or if you are not working with breast histopathology data.
Stars
14
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 02, 2022
Commits (30d)
0
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