Understanding the Behavior of Deep Learning Models in Biomedical Domains

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Computer Vision

Artificial Intelligence

Stats Machine Learning

Understanding the Behavior of Deep Learning Models in Biomedical Domains

Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability

Deep learning models are often used to perform image processing tasks in the medical domain.

Extracting such a graphicalrepresentation of the model s behavior on an abstract, higher conceptual level would unravel the learnings of these models and would help us to evaluate the steps taken by the model for predictions.

We show the application of our proposed implementation on two biomedical problems-brain tumor segmentationand fundus image classification.

Authors

Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan

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