A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks

BACKGROUND AND AIMS: Seattle protocol biopsies for Barrett's Esophagus (BE) surveillance are labour intensive with low compliance. Dysplasia detection rates vary, leading to missed lesions. This can potentially be offset with computer aided detection. We have developed convolutional neural netw...

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Detalles Bibliográficos
Autores principales: Hussein, Mohamed, González‐Bueno Puyal, Juana, Lines, David, Sehgal, Vinay, Toth, Daniel, Ahmad, Omer F., Kader, Rawen, Everson, Martin, Lipman, Gideon, Fernandez‐Sordo, Jacobo Ortiz, Ragunath, Krish, Esteban, Jose Miguel, Bisschops, Raf, Banks, Matthew, Haefner, Michael, Mountney, Peter, Stoyanov, Danail, Lovat, Laurence B., Haidry, Rehan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Endoscopy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278593/
https://www.ncbi.nlm.nih.gov/pubmed/35521666
http://dx.doi.org/10.1002/ueg2.12233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278593/
https://www.ncbi.nlm.nih.gov/pubmed/35521666
http://dx.doi.org/10.1002/ueg2.12233

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