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A survey on the interpretability of deep learning in medical diagnosis

Deep learning has demonstrated remarkable performance in the medical domain, with accuracy that rivals or even exceeds that of human experts. However, it has a significant problem that these models are “black-box” structures, which means they are opaque, non-intuitive, and difficult for people to un...

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Detalles Bibliográficos
Autores principales: Teng, Qiaoying, Liu, Zhe, Song, Yuqing, Han, Kai, Lu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243744/
https://www.ncbi.nlm.nih.gov/pubmed/35789785
http://dx.doi.org/10.1007/s00530-022-00960-4