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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Detalles Bibliográficos
Autores principales: Xu, Fan, Jiang, Li, He, Wenjing, Huang, Guangyi, Hong, Yiyi, Tang, Fen, Lv, Jian, Lin, Yunru, Qin, Yikun, Lan, Rushi, Pan, Xipeng, Zeng, Siming, Li, Min, Chen, Qi, Tang, Ningning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712475/
https://www.ncbi.nlm.nih.gov/pubmed/34970572
http://dx.doi.org/10.3389/fmed.2021.797616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712475/
https://www.ncbi.nlm.nih.gov/pubmed/34970572
http://dx.doi.org/10.3389/fmed.2021.797616

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