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Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting

Crossref DOI link: https://doi.org/10.1007/s11042-019-7726-x

Published Online: 2019-05-29

Published Print: 2020-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cai, Guanxiong

Guo, Yanhui

Chen, Weiguo

Zeng, Hui

Zhou, Yuanpin

Lu, Yao
Funding

Funding for this research was provided by:

Ministry of Science and Technology of China (2016YFB0200602)

National Science Foundation of China (11401601)

Guangdong Province Frontier and Key Technology Innovative Grant (2015B010110003, 2016B030307003)

Guangdong Cooperative and Creative Key Grant (201604020003)

Guangzhou Science, Technology and Innovation Commission (2017B020210001)
License Information

Text and Data Mining valid from 2019-05-29

Version of Record valid from 2019-05-29
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Article History

Received: 16 January 2019

Revised: 24 March 2019

Accepted: 1 May 2019

First Online: 29 May 2019

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