Breast tumor classification through learning from noisy labeled ultrasound images-Reference-Cited by-同舟云学术

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Breast tumor classification through learning from noisy labeled ultrasound images

Published:2019-12-30 Issue:3 Volume:47 Page:1048-1057
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Cao Zhantao¹,Yang Guowu¹,Chen Qin²,Chen Xiaolong³,Lv Fengmao³

Affiliation:

1. School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731China

2. Sichuan Provincial Peoples’s Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu 610072China

3. Center of Statistical Research and School of Statistics Southwestern University of Finance and Economics Chengdu 611130China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13966

Reference57 articles.

1. Breast cancer statistics, 2013

2. Rating the Risk Factors for Breast Cancer

3. Automated breast cancer detection and classification using ultrasound images: A survey

4. Diagnostic Accuracy of Mammography, Clinical Examination, US, and MR Imaging in Preoperative Assessment of Breast Cancer

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