Prediction of Breast Cancer Using Convolution Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7622-5_44
Reference15 articles.
1. Al-Hadidi M et al (2016) Breast cancer detect. Using K-nearest neighbor machine learning Algo. In: 9th International conference on DeSE, pp 35–39, 2016. https://doi.org/10.1109/DESE.2016.8
2. Mhaske HR et al (2013) Melanoma skin cancer detect. & classification based on supervised and unsupervised learning. CCUBE, pp 1–5. https://doi.org/10.1109/CCUBE.2013.6718539
3. Hari Nallamala et al S (2019) Qualitative metrics on breast cancer diagnosis with neuro fuzzy Inf.Syms. IJATCSE 8(2):259–264. https://doi.org/10.30534/ijatcse/2019/26822019
4. Hari Nallamala S et al (2018) An appraisal on recurrent pattern analysis Algo. from the net monitor records. IJET 2(7)542–545. https://doi.org/10.14419/ijet.v7i2.7.10879
5. Nayak S et al (2017) Comparison of supervised learning algo. for RFB breast cancer detection, CEM, pp 13–14. https://doi.org/10.1109/CEM.2017.799186
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