The Clinical Value of Explainable Deep Learning for Diagnosing Fungal Keratitis Using in vivo Confocal Microscopy Images

Background: Artificial intelligence (AI) has great potential to detect fungal keratitis using in vivo confocal microscopy images, but its clinical value remains unclarified. A major limitation of its clinical utility is the lack of explainability and interpretability.Methods: An explainable AI (XAI)...

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Κύριοι συγγραφείς:	Fan Xu, Li Jiang, Wenjing He, Guangyi Huang, Yiyi Hong, Fen Tang, Jian Lv, Yunru Lin, Yikun Qin, Rushi Lan, Xipeng Pan, Siming Zeng, Min Li, Qi Chen, Ningning Tang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2021-12-01
Σειρά:	Frontiers in Medicine
Θέματα:	fungal keratitis in vivo confocal microscopy deep learning artificial intelligence explainability
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/fmed.2021.797616/full
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