An artificial intelligence method for predicting postoperative urinary incontinence based on multiple anatomic parameters of MRI

BACKGROUND: Deep learning methods are increasingly applied in the medical field; however, their lack of interpretability remains a challenge. Captum is a tool that can be used to interpret neural network models by computing feature importance weights. Although Captum is an interpretable model, it is...

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Detalles Bibliográficos
Autores principales: Li, Jiakun, Fan, Xuemeng, Tang, Tong, Wu, Erman, Wang, Dongyue, Zong, Hui, Zhou, Xianghong, Li, Yifan, Zhang, Chichen, Zhang, Yihang, Wu, Rongrong, Wu, Cong, Yang, Lu, Shen, Bairong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520312/
https://www.ncbi.nlm.nih.gov/pubmed/37767466
http://dx.doi.org/10.1016/j.heliyon.2023.e20337

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520312/
https://www.ncbi.nlm.nih.gov/pubmed/37767466
http://dx.doi.org/10.1016/j.heliyon.2023.e20337

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