Three-Dimensional Automated Breast Ultrasound (ABUS) Tumor Classification Using a 2D-Input Network: Soft Voting or Hard Voting?

Three-Dimensional Automated Breast Ultrasound (ABUS) Tumor Classification Using a 2D-Input Network: Soft Voting or Hard Voting?

Breast cancer is a global threat to women’s health. Three-dimensional (3D) automated breast ultrasound (ABUS) offers reproducible high-resolution imaging for breast cancer diagnosis. However, 3D-input deep networks are challenged by high time costs, a lack of sufficient training samples, and the com...

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Bibliographic Details
Main Authors: Shaode Yu, Xiaoyu Liang, Songnan Zhao, Yaoqin Xie, Qiurui Sun
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
breast cancer diagnosis
automated breast ultrasound
soft voting
hard voting
convolutional neural network
deep learning
Online Access:https://www.mdpi.com/2076-3417/14/24/11611
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