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...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Tsung-Hsing Chen, Yu-Tzu Wang, Chi-Huan Wu, Chang-Fu Kuo, Hao-Tsai Cheng, Shu-Wei Huang, Chieh Lee
פורמט: Article
שפה:English
יצא לאור: BMC 2024-03-01
סדרה:BMC Gastroenterology
נושאים:
Colonial polyps
Serrated-type colon polyps
Artificial intelligence
Classification modeling
גישה מקוונת:https://doi.org/10.1186/s12876-024-03181-3

אינטרנט

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

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