Classification of Microcalcification Clusters Using Bilateral Features Based on Graph Convolutional Network

Classification of Microcalcification Clusters Using Bilateral Features Based on Graph Convolutional Network

Breast cancer is one of the diseases with the highest incidence and mortality among women in the world, which has posed a serious threat to women’s health. The appearance of clustered calcifications is one of the important signs of breast cancer, and thus how to classify clustered calcifications com...

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Bibliographic Details
Main Authors: Yaqin Zhang, Jiayue Han, Binghui Chen, Lin Chang, Ting Song, Guanxiong Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Oncology
Subjects:
breast cancer
microcalcification
graph convolutional network
computer-aided diagnosis
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.871662/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.871662/full

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