ABUSDet: A Novel 2.5D deep learning model for automated breast ultrasound tumor detection

被引：0

作者：

Xudong Song

Xiaoyang Lu

Gengfa Fang

Xiangjian He

Xiaochen Fan

Le Cai

Wenjing Jia

Zumin Wang

机构：

[1] School of Electrical and Data Engineering,Faculty of Engineering and Information Technology

[2] University of Technology Sydney,Thrust of Carbon Neutrality & Climate Change (CNCC)

[3] University of Technology Sydney,School of Computer Science

[4] The Hong Kong University of Science and Technology (Guangzhou),Department of Electronic Engineering

[5] Computer Vision and Intelligent Perception Laboratory,undefined

[6] University of Nottingham Ningbo China,undefined

[7] University of Nottingham Ningbo China,undefined

[8] Tsinghua University,undefined

[9] College of Information Engineering,undefined

[10] DalianUniversity,undefined

来源：

Applied Intelligence | 2023年 / 53卷

关键词：

Automated breast ultrasound (ABUS); Breast cancer; 2.5D tumor detection; Deliberate training;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：26255 / 26269

页数：14

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