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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
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 |
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