Automated detection of colorectal tumors based on artificial intelligence

Automated detection of colorectal tumors based on artificial intelligence

Abstract 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...

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Bibliographic Details
Main Authors: Kwang-Sig Lee, Sang-Hyuk Son, Sang-Hyun Park, Eun Sun Kim
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Colon
Neoplasm
Artificial intelligence
Online Access:https://doi.org/10.1186/s12911-020-01314-8

Internet

https://doi.org/10.1186/s12911-020-01314-8

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