Performance Assessment of Malignant Masses Detection from Diagnostic Mammography-Reference-Cited by-同舟云学术

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Performance Assessment of Malignant Masses Detection from Diagnostic Mammography

Published:2024-05-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
language:
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Author:

Sun Guanghao¹,Si Lifang²,Hou Jialin³,Yang Qi²,Liu Yong¹,Hou Rui¹

Affiliation:

1. Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China

2. Capital Medical University,Beijing Chaoyang Hospital,Department of Radiology,Beijing,China

3. Shandong Agricultural University,College of Mechanical and Electronic Engineering,Taian,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635319.pdf?arnumber=10635319

Reference9 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Diagnostic Performance of MRI, Molecular Breast Imaging, and Contrast-enhanced Mammography in Women with Newly Diagnosed Breast Cancer

3. U-Net: Convolutional Networks for Biomedical Image Segmentation

4. Very deep convolutional networks for large-scale image recognition;Simonyan,2014

5. Deep Residual Learning for Image Recognition

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