DenseNet for Breast Tumor Classification in Mammographic Images-Reference-Cited by-同舟云学术

DenseNet for Breast Tumor Classification in Mammographic Images

Published:2021 Issue: Volume: Page:166-176
ISSN:0302-9743
Container-title:Bioengineering and Biomedical Signal and Image Processing
language:
Short-container-title:

Author:

Jiménez Gaona Yuliana^ORCID,Rodriguez-Alvarez María José^ORCID,Espino-Morato Hector^ORCID,Castillo Malla Darwin^ORCID,Lakshminarayanan Vasudevan^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-88163-4_16

Reference53 articles.

1. Ferlay, J., et al.: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer. 136(5), E359–E386 (2015)

2. Ragab, D.A., Sharkas, M., Marshall, S., Ren, J.: Breast cancer detection using deep convolutional neural networks and support vector machines. Peer J. 7, e6201 (2019)

3. Shieh, S.H., Hsieh, V.C.R., Liu, S.H., Chien, C.R., Lin, C.C., Wu, T.N.: Delayed time from first medical visit to diagnosis for breast cancer patients in Taiwan. J. Formos. Med. Assoc. 113(10), 696–703 (2014)

4. Nahid, A.A., Kong, Y.: Involvement of machine learning for breast cancer image classification: a survey. Comput. Math. Methods Med. 2017, 29 (2017). https://doi.org/10.1155/2017/3781951

5. Bardou, D., Zhang, K., Ahmad, S.M.: Classification of breast cancer based on histology images using convolutional neural networks. IEEE Access 6, 24680–24693 (2018)

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