A proposed artificial intelligence workflow to address application challenges leveraged on algorithm uncertainty

Artificial Intelligence (AI) has achieved state-of-the-art performance in medical imaging. However, most algorithms focused exclusively on improving the accuracy of classification while neglecting the major challenges in a real-world application. The opacity of algorithms prevents users from knowing...

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Detalles Bibliográficos
Autores principales: Li, Dantong, Hu, Lianting, Peng, Xiaoting, Xiao, Ning, Zhao, Hong, Liu, Guangjian, Liu, Hongsheng, Li, Kuanrong, Ai, Bin, Xia, Huimin, Lu, Long, Gao, Yunfei, Wu, Jian, Liang, Huiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924636/
https://www.ncbi.nlm.nih.gov/pubmed/35310335
http://dx.doi.org/10.1016/j.isci.2022.103961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924636/
https://www.ncbi.nlm.nih.gov/pubmed/35310335
http://dx.doi.org/10.1016/j.isci.2022.103961

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