Diagnostic value of mammography density of breast masses by using deep learning

Diagnostic value of mammography density of breast masses by using deep learning

ObjectiveIn order to explore the relationship between mammographic density of breast mass and its surrounding area and benign or malignant breast, this paper proposes a deep learning model based on C2FTrans to diagnose the breast mass using mammographic density.MethodsThis retrospective study includ...

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Bibliographic Details
Main Authors: Qian-qian Chen, Shu-ting Lin, Jia-yi Ye, Yun-fei Tong, Shu Lin, Si-qing Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Oncology
Subjects:
mammographic density
deep learning model
convolutional neural network
regions of interest
breast mass
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1110657/full

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