Article

Exploring the Explainability of a Machine Learning Model for Prostate Cancer: Do Lesions Localize with the Most Important Feature Maps?

2024-10-14

Abstract excerpt

As the use of AI grows in clinical medicine, so does the need for better explainable AI (XAI) methods. Model based XAI methods like GradCAM evaluate the feature maps generated by CNNs to create visual interpretations (like heatmaps) that can be evaluated qualitatively. We propose a simple method utilizing the most important (highest weighted) of these feature maps and evaluating it with the most important clinical...

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Literature Corpus work: b3109bb8-06d9-5601-b7dd-eb4cd40b43b2
DOI: 10.1101/2024.10.12.24315347

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