Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm

In this study, we aimed to develop an artificial intelligence clinical decision support solution to mitigate operator-dependent limitations during complex endoscopic procedures such as endoscopic submucosal dissection and peroral endoscopic myotomy, for example, bleeding and perforation. A DeepLabv3...

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Detalles Bibliográficos
Autores principales: Ebigbo, Alanna, Mendel, Robert, Scheppach, Markus W, Probst, Andreas, Shahidi, Neal, Prinz, Friederike, Fleischmann, Carola, Römmele, Christoph, Goelder, Stefan Karl, Braun, Georg, Rauber, David, Rueckert, Tobias, de Souza, Luis A, Papa, Joao, Byrne, Michael, Palm, Christoph, Messmann, Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Endoscopy News
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664130/
https://www.ncbi.nlm.nih.gov/pubmed/36109151
http://dx.doi.org/10.1136/gutjnl-2021-326470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664130/
https://www.ncbi.nlm.nih.gov/pubmed/36109151
http://dx.doi.org/10.1136/gutjnl-2021-326470

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