Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis

BACKGROUND: A number of publications have demonstrated that deep learning (DL) algorithms matched or outperformed clinicians in image-based cancer diagnostics, but these algorithms are frequently considered as opponents rather than partners. Despite the clinicians-in-the-loop DL approach having grea...

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Detalles Bibliográficos
Autores principales: Xue, Peng, Si, Mingyu, Qin, Dongxu, Wei, Bingrui, Seery, Samuel, Ye, Zichen, Chen, Mingyang, Wang, Sumeng, Song, Cheng, Zhang, Bo, Ding, Ming, Zhang, Wenling, Bai, Anying, Yan, Huijiao, Dang, Le, Zhao, Yuqian, Rezhake, Remila, Zhang, Shaokai, Qiao, Youlin, Qu, Yimin, Jiang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020907/
https://www.ncbi.nlm.nih.gov/pubmed/36862499
http://dx.doi.org/10.2196/43832

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020907/
https://www.ncbi.nlm.nih.gov/pubmed/36862499
http://dx.doi.org/10.2196/43832

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