The development of “automated visual evaluation” for cervical cancer screening: The promise and challenges in adapting deep‐learning for clinical testing is a research paper published in International Journal of Cancer (2021). On theSindex it has a DataRank of 0. It has been cited 75 times.
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National Institutes of Health
Grant: T32CA09168
NCI NIH HHS
Grant: T32 CA009168
Intramural NIH HHS
Grant: Z99 CA999999
FWCI
7.80
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation
Additional file 1 of Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation