A combined deep CNN-lasso regression feature fusion and classification of MLO and CC view mammogram image-Reference-Cited by-同舟云学术

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A combined deep CNN-lasso regression feature fusion and classification of MLO and CC view mammogram image

Published:2023-02-27 Issue:1 Volume:15 Page:553-563
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Sridevi V.^ORCID,Samath J. Abdul

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://link.springer.com/content/pdf/10.1007/s13198-023-01871-x.pdf

Reference33 articles.

1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2011) Global cancer statistics. Cancer J Clin 68:394–424

2. Cheng J-Z, Ni D, Chou Y-H, Qin J, Tiu C-M, Chang Y-C et al (2016) Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans. Sci Re Ports 6(1):24454. https://doi.org/10.1038/srep24454

3. Dheeba J, Singh NA (2015) Computer aided intelligent breast cancer detection: second opinion for radiologists—a prospective study. Computational intelligence applications in modeling and control. Springer Cham, Switzerland, pp 397–430

4. Gao F, Chia K-S, Ng F-C, Ng E-H, Machin D (2002) Interval cancers following breast cancer screening in Singaporean women. Int J Cancer 101:475–479

5. Hua K-L, Hsu C-H, Hidayati SC, Cheng W-H, Chen Y-J (2015) Computer- aided classification of lung nodules on computed tomography images via deep learning technique. Onco Targets Ther 8:2015–2022. https://doi.org/10.2147/OTT.S80733

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MV-Swin-T: Mammogram Classification with Multi-View Swin Transformer;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Mammogram Breast Cancer Classification Based on Deep-Convolutional Neural Network;2023 International Seminar on Application for Technology of Information and Communication (iSemantic);2023-09-16

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