TiagoFilipeSousaGoncalves/survey-attention-medical-imaging
Implementation of the paper "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?" by Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira and Jaime S. Cardoso.
This project helps medical researchers and practitioners evaluate and understand the performance of deep learning models that use attention mechanisms for medical image analysis. It takes medical imaging datasets and deep learning model configurations as input, then outputs trained models, their test performance, and visual explanations (saliency maps) of their predictions. This helps researchers assess whether these advanced algorithms are truly beneficial for high-stakes medical decisions.
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Use this if you are a medical researcher or clinician investigating the suitability and explainability of attention-based deep learning models for classifying medical images.
Not ideal if you are looking for a plug-and-play clinical diagnostic tool or general-purpose image recognition software.
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Language
Python
License
MIT
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Last pushed
Sep 25, 2022
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