mdsatria/MultiAttentionMIL
ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"
This tool helps medical researchers and pathologists automatically classify large histology images, often multi-gigapixel in size, into different categories. It takes a raw, high-resolution tissue scan as input and outputs a classification along with visualizations showing which areas of the image were most important for the decision. This is ideal for those working with digital pathology slides.
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Use this if you need to classify extremely large microscopy images of tissue samples and want to understand which regions contribute most to the classification.
Not ideal if you are working with standard-sized medical images or need a tool for general image classification outside of histology.
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Last pushed
Apr 08, 2023
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