Survey on Machine Learning and Deep Learning Applications in Breast Cancer Diagnosis

Author:

Chugh Gunjan,Kumar ShailenderORCID,Singh Nanhay

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Reference94 articles.

1. Goyal K, Prakriti S, Preeti A, Mukesh K. Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prognosis. 2nd International Conference on Communication, Computing and Networking. Springer Singapore; 2019;46:93–102. https://doi.org/10.1007/978-981-13-1217-5.

2. Cancer Statistics-Indian against cancer. Statistics - India Against Cancer [Internet]. 2018 [cited 2020 May 26]. http://cancerindia.org.in/cancer-statistics/.

3. Globocan IAC. Globocan 2018_ India factsheet - India Against Cancer [Internet]. 2018 [cited 2020 May 26]. http://cancerindia.org.in/globocan-2018-india-factsheet/.

4. Saha M, Chakraborty C. Her2Net: a deep framework for semantic segmentation and classification of cell membranes and nuclei in breast cancer evaluation. IEEE Trans Image Process. 2018;27(5):2189–200.

5. Comparison G. Statistics of breast cancer in india. 2019 [cited 2020 May 26];1–10. https://cytecare.com/blog/statistics-of-breast-cancer/.

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