Colonoscopic image synthesis with generative adversarial network for enhanced detection of sessile serrated lesions using convolutional neural network

Computer-aided detection (CADe) systems have been actively researched for polyp detection in colonoscopy. To be an effective system, it is important to detect additional polyps that may be easily missed by endoscopists. Sessile serrated lesions (SSLs) are a precursor to colorectal cancer with a rela...

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Detalles Bibliográficos
Autores principales: Yoon, Dan, Kong, Hyoun-Joong, Kim, Byeong Soo, Cho, Woo Sang, Lee, Jung Chan, Cho, Minwoo, Lim, Min Hyuk, Yang, Sun Young, Lim, Seon Hee, Lee, Jooyoung, Song, Ji Hyun, Chung, Goh Eun, Choi, Ji Min, Kang, Hae Yeon, Bae, Jung Ho, Kim, Sungwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741803/
https://www.ncbi.nlm.nih.gov/pubmed/34997124
http://dx.doi.org/10.1038/s41598-021-04247-y

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