Application value of a deep learning model based on 3D ultrasound videos in assisting radiologists of different experience levels to differentiate benign and malignant breast masses

Application value of a deep learning model based on 3D ultrasound videos in assisting radiologists of different experience levels to differentiate benign and malignant breast masses

Objective To establish a deep learning model based on 3D ultrasound videos (DL-3DUV) and investigate its application value in assisting radiologists with different levels of experience to differentiate benign and malignant breast masses. Methods The ResNet50 model was employed to develop DL-3DUV for...

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Bibliographic Details
Main Author: GUO Yuqing, WANG Changyan, LIU Yinchun, PANG Yun, ZHU Xia, GE Rui, LI Weiping, ZHANG Qi, CHEN Lin
Format: Article
Language:zho
Published: Editorial Office of Journal of Diagnostics Concepts & Practice 2025-06-01
Series:Zhenduanxue lilun yu shijian
Subjects:
|automated breast volume scanner|breast cancer|deep learning
Online Access:https://www.qk.sjtu.edu.cn/jdcp/fileup/1671-2870/PDF/1756094170110-2050325757.pdf
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https://www.qk.sjtu.edu.cn/jdcp/fileup/1671-2870/PDF/1756094170110-2050325757.pdf

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