A computer-aided diagnosis scheme of breast lesion classification using GLGLM and shape features: Combined-view and multi-classifiers-Reference-Cited by-同舟云学术

A computer-aided diagnosis scheme of breast lesion classification using GLGLM and shape features: Combined-view and multi-classifiers

Published:2018-11 Issue: Volume:55 Page:61-72
ISSN:1120-1797
Container-title:Physica Medica
language:en
Short-container-title:Physica Medica

Author:

Liang Cuixia,Bian Zhaoying,Lv Wenbing,Chen Shijun,Zeng Dong,Ma Jianhua^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Science and Technology Program of Guangzhou

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Radiology, Nuclear Medicine and imaging,General Medicine,Biophysics

Reference43 articles.

1. American Cancer Society. Cancer Facts & Figures 2018, https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2018.html; 2018[accessed 2018].

2. Impact of transition from analog screening mammography to digital screening mammography on screening outcome in The Netherlands: a population-based study;Nederend;Ann Oncol ESMO,2012

3. Nation-wide data on screening performance during the transition to digital mammography: observations in 6 million screens;van Luijt;Eur J Cancer,2013

4. Systematic review: the long-term effects of false-positive mammograms;Brewer;Ann Intern Med,2007

5. American Cancer Society. Breast cancer Facts & Figures 2017-2018, https://www.cancer.org/research/cancer-facts-statistics/breast-cancer-facts-figures.html; 2017[accessed 2017].

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