Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients

Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients

Purpose: The purpose of this study was to compare the diagnostic performance of breast lesions between deep learning-based computer-aided diagnosis (deep learning-based CAD) system and experienced radiologists and to compare the performance between symptomatic and asymptomatic patients.Methods: From...

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Bibliographic Details
Main Authors: Mengsu Xiao, Chenyang Zhao, Jianchu Li, Jing Zhang, He Liu, Ming Wang, Yunshu Ouyang, Yixiu Zhang, Yuxin Jiang, Qingli Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Oncology
Subjects:
computer-aided diagnosis
deep learning
breast
ultrasound
symptomatic
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01070/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.01070/full

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