Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine-Reference-Cited by-同舟云学术

Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine

Published:2021-01 Issue: Volume:87 Page:101829
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Shia Wei-Chung,Chen Dar-Ren

Funder

Changhua Christian Hospital

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference37 articles.

1. Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer;Becker;Invest. Radiol.,2017

2. Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study;Becker;Br. J. Radiol.,2018

3. Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study;Becker;Br. J. Radiol.,2018

4. Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer;Berg;JAMA,2008

5. YOLOv4: Optimal Speed and Accuracy of Object Detection;Bochkovskiy,2020

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