Real-time detection of colon polyps during colonoscopy using deep learning: systematic validation with four independent datasets

We developed and validated a deep-learning algorithm for polyp detection. We used a YOLOv2 to develop the algorithm for automatic polyp detection on 8,075 images (503 polyps). We validated the algorithm using three datasets: A: 1,338 images with 1,349 polyps; B: an open, public CVC-clinic database w...

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Detalles Bibliográficos
Autores principales: Lee, Ji Young, Jeong, Jinhoon, Song, Eun Mi, Ha, Chunae, Lee, Hyo Jeong, Koo, Ja Eun, Yang, Dong-Hoon, Kim, Namkug, Byeon, Jeong-Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239848/
https://www.ncbi.nlm.nih.gov/pubmed/32433506
http://dx.doi.org/10.1038/s41598-020-65387-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239848/
https://www.ncbi.nlm.nih.gov/pubmed/32433506
http://dx.doi.org/10.1038/s41598-020-65387-1

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