Application of Deep Convolutional Neural Networks for Discriminating Benign, Borderline, and Malignant Serous Ovarian Tumors From Ultrasound Images

Application of Deep Convolutional Neural Networks for Discriminating Benign, Borderline, and Malignant Serous Ovarian Tumors From Ultrasound Images

ObjectiveThis study aimed to evaluate the performance of the deep convolutional neural network (DCNN) to discriminate between benign, borderline, and malignant serous ovarian tumors (SOTs) on ultrasound(US) images.Material and MethodsThis retrospective study included 279 pathology-confirmed SOTs US...

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Bibliographic Details
Main Authors: Huiquan Wang, Chunli Liu, Zhe Zhao, Chao Zhang, Xin Wang, Huiyang Li, Haixiao Wu, Xiaofeng Liu, Chunxiang Li, Lisha Qi, Wenjuan Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Oncology
Subjects:
deep convolutional neural network
deep learning
ultrasound
serous ovarian tumor
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.770683/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.770683/full

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