Detection Accuracy and Latency of Colorectal Lesions with Computer-Aided Detection System Based on Low-Bias Evaluation

Detection Accuracy and Latency of Colorectal Lesions with Computer-Aided Detection System Based on Low-Bias Evaluation

We developed a computer-aided detection (CADe) system to detect and localize colorectal lesions by modifying You-Only-Look-Once version 3 (YOLO v3) and evaluated its performance in two different settings. The test dataset was obtained from 20 randomly selected patients who underwent endoscopic resec...

Full description

Bibliographic Details
Main Authors: Hiroaki Matsui, Shunsuke Kamba, Hideka Horiuchi, Sho Takahashi, Masako Nishikawa, Akihiro Fukuda, Aya Tonouchi, Natsumaro Kutsuna, Yuki Shimahara, Naoto Tamai, Kazuki Sumiyama
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Diagnostics
Subjects:
artificial intelligence
computer-aided detection
colonoscopy
colorectal lesions
deep learning
Online Access:https://www.mdpi.com/2075-4418/11/10/1922

Internet

https://www.mdpi.com/2075-4418/11/10/1922

Similar Items