Clinically interpretable multiclass neural network for discriminating cardiac diseases
Background: Deep-learning applications in cardiology typically perform trivial binary classification and are able to discriminate between subjects affected or not affected by a specific cardiac disease. However, this working scenario is very different from the real one, where clinicians are required...
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Main Authors: | Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Cees A. Swenne, Laura Burattini |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402417226X |
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