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Toward an Explainable Artificial Intelligence Approach to Enhance Medical Imaging Classification Models

Published: 05 December 2023 Publication History

Abstract

Recent studies in eXplainable Artificial Intelligence (XAI) have been focusing on demystifying neural networks, which are considered algorithmic black-boxes. This is particularly important given the plethora of AI solutions, and in certain domains, such as healthcare and finance, due to regulation and compliance requirements. These XAI approaches yielded discussion points (e.g., evidence of model sufficiency), but overlooked connecting the explanations with steps to enhance model performances, as well as acquiring domain knowledge from them. The key difference is that the data enhancement strategies can improve model performance without re-training. In this study, we propose a novel XAI approach that utilizes visual explanations, in combination with domain knowledge, to guide data enhancement practices. The approach provides guidelines for future data enhancement, as well as knowledge elements in the form of explanation on the enhancement. We evaluated the proposed approach using a medical imaging dataset, and demonstrated the feasibility and effectiveness of the proposed approach.

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          cover image ACM Conferences
          K-CAP '23: Proceedings of the 12th Knowledge Capture Conference 2023
          December 2023
          270 pages
          ISBN:9798400701412
          DOI:10.1145/3587259
          • Editors:
          • Brent Venable,
          • Daniel Garijo,
          • Brian Jalaian
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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          Publication History

          Published: 05 December 2023

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          Author Tags

          1. Medical Imaging Classification
          2. Model Faithfulness
          3. Multi-class Image Classification
          4. XAI

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          K-CAP '23
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          K-CAP '23: Knowledge Capture Conference 2023
          December 5 - 7, 2023
          FL, Pensacola, USA

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