Applying Machine Learning Techniques To Predict Breast Cancer
Author:
Affiliation:
1. Osmania University,Computer Science and Engineering,Hyderabad,TS,India
2. Osmania University,CFRD,Hyderabad,TS,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941182/9941183/09941239.pdf?arnumber=9941239
Reference17 articles.
1. Factors associated with breast cancer mortality-per-incident case in low-to-middle income countries (LMICs).
2. Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images. Multimed;li;Tools Appl,2018
3. Deep Learning Algorithms for Detection of Lymph Node Metastases From Breast Cancer
4. Multi spectral classification and recognition of breast cancer and pneumonia
5. An Ensemble Classifier Characterized by Genetic Algorithm with Decision Tree for the Prophecy of Heart Disease;shekar,2019
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