Towards Multi-dimensional Explanation Alignment for Medical Classification Article Swipe
Lijie Hu
,
Songning Lai
,
Wenshuo Chen
,
Hongru Xiao
,
Hongbin Lin
,
Lu Yu
,
Jingfeng Zhang
,
Di Wang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2410.21494
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2410.21494
The lack of interpretability in the field of medical image analysis has significant ethical and legal implications. Existing interpretable methods in this domain encounter several challenges, including dependency on specific models, difficulties in understanding and visualization, as well as issues related to efficiency. To address these limitations, we propose a novel framework called Med-MICN (Medical Multi-dimensional Interpretable Concept Network). Med-MICN provides interpretability alignment for various angles, including neural symbolic reasoning, concept semantics, and saliency maps, which are superior to current interpretable methods. Its advantages include high prediction accuracy, interpretability across multiple dimensions, and automation through an end-to-end concept labeling process that reduces the need for extensive human training effort when working with new datasets. To demonstrate the effectiveness and interpretability of Med-MICN, we apply it to four benchmark datasets and compare it with baselines. The results clearly demonstrate the superior performance and interpretability of our Med-MICN.
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- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2410.21494
- https://arxiv.org/pdf/2410.21494
- OA Status
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- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4404340918Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2410.21494Digital Object Identifier
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Towards Multi-dimensional Explanation Alignment for Medical ClassificationWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-10-28Full publication date if available
- Authors
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Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di WangList of authors in order
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https://arxiv.org/abs/2410.21494Publisher landing page
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https://arxiv.org/pdf/2410.21494Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2410.21494Direct OA link when available
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Computer science, Artificial intelligence, Pattern recognition (psychology), Data miningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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