A colonial serrated polyp classification model using white-light ordinary endoscopy images with an artificial intelligence model and TensorFlow chart

A colonial serrated polyp classification model using white-light ordinary endoscopy images with an artificial intelligence model and TensorFlow chart

Abstract In this study, we implemented a combination of data augmentation and artificial intelligence (AI) model—Convolutional Neural Network (CNN)—to help physicians classify colonic polyps into traditional adenoma (TA), sessile serrated adenoma (SSA), and hyperplastic polyp (HP). We collected ordi...

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Bibliographic Details
Main Authors: Tsung-Hsing Chen, Yu-Tzu Wang, Chi-Huan Wu, Chang-Fu Kuo, Hao-Tsai Cheng, Shu-Wei Huang, Chieh Lee
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Gastroenterology
Subjects:
Colonial polyps
Serrated-type colon polyps
Artificial intelligence
Classification modeling
Online Access:https://doi.org/10.1186/s12876-024-03181-3

Internet

https://doi.org/10.1186/s12876-024-03181-3

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