arindam369/MedMNIST-ViT
Based on our paper "Implementing vision transformer for classifying 2D biomedical images" published in Scientific Reports (Nature)
This project helps medical researchers and diagnostic professionals automatically categorize 2D biomedical images, such as those from blood, breast, pathology, or retina scans. You provide a medical image, and it classifies it into relevant categories. It's designed for scientists or clinicians who need to quickly and accurately interpret medical image data.
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Use this if you need to classify 2D biomedical images and understand which parts of an image contribute most to its classification.
Not ideal if you are working with 3D medical scans or require real-time image analysis in a clinical setting.
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16
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6
Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 02, 2024
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