Automated detection of colorectal tumors based on artificial intelligence

BACKGROUND: This study developed a diagnostic tool to automatically detect normal, unclear and tumor images from colonoscopy videos using artificial intelligence. METHODS: For the creation of training and validation sets, 47,555 images in the jpg format were extracted from colonoscopy videos for 24...

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Detalles Bibliográficos
Autores principales: Lee, Kwang-Sig, Son, Sang-Hyuk, Park, Sang-Hyun, Kim, Eun Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849081/
https://www.ncbi.nlm.nih.gov/pubmed/33522919
http://dx.doi.org/10.1186/s12911-020-01314-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849081/
https://www.ncbi.nlm.nih.gov/pubmed/33522919
http://dx.doi.org/10.1186/s12911-020-01314-8

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