Computer-aided detection of colorectal polyps using a newly generated deep convolutional neural network: from development to first clinical experience

AIM: The use of artificial intelligence represents an objective approach to increase endoscopist’s adenoma detection rate (ADR) and limit interoperator variability. In this study, we evaluated a newly developed deep convolutional neural network (DCNN) for automated detection of colorectal polyps ex...

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Detalles Bibliográficos
Autores principales: Pfeifer, Lukas, Neufert, Clemens, Leppkes, Moritz, Waldner, Maximilian J., Häfner, Michael, Beyer, Albert, Hoffman, Arthur, Siersema, Peter D., Neurath, Markus F., Rath, Timo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams And Wilkins 2021
Materias:
Original Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734627/
https://www.ncbi.nlm.nih.gov/pubmed/34034272
http://dx.doi.org/10.1097/MEG.0000000000002209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734627/
https://www.ncbi.nlm.nih.gov/pubmed/34034272
http://dx.doi.org/10.1097/MEG.0000000000002209

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