Deployment and assessment of a deep learning model for real-time detection of anal precancer with high frame rate high-resolution microendoscopy

Deployment and assessment of a deep learning model for real-time detection of anal precancer with high frame rate high-resolution microendoscopy

Abstract Anal cancer incidence is significantly higher in people living with HIV as HIV increases the oncogenic potential of human papillomavirus. The incidence of anal cancer in the United States has recently increased, with diagnosis and treatment hampered by high loss-to-follow-up rates. Novel me...

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Bibliographic Details
Main Authors: David Brenes, Alex Kortum, Jackson Coole, Jennifer Carns, Richard Schwarz, Imran Vohra, Rebecca Richards-Kortum, Yuxin Liu, Zhenjian Cai, Keith Sigel, Sharmila Anandasabapathy, Michael Gaisa, Elizabeth Chiao
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-49197-9

Internet

https://doi.org/10.1038/s41598-023-49197-9

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