Efficient Diagnoses of Breast Cancer Disease Using Deep Learning Technique

Author:

Raza Muhammad Ali1ORCID,Khattak Asad Masood2ORCID,Abbas Wasim3ORCID,Asghar Muhammad Zubair1ORCID

Affiliation:

1. Gomal University, Pakistan

2. Zayed University, United Arab Emirates

3. CEO, Techsacare pte. ltd, Singapore

Funder

Zayed University, UAE

Publisher

ACM

Reference28 articles.

1. PREDICTION AND DIAGNOSIS OF BREAST CANCER USING MACHINE LEARNING AND ENSEMBLE CLASSIFIERS;Arshad M. W.;CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES,2023

2. P. P. Sengar, M. J. Gaikwad, and A. S. Nagdive, "Comparative study of machine learning algorithms for breast cancer prediction," in 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), 2020, pp. 796-801.

3. Comparison of Decision Tree, Random Forest and Linear Discriminant Analysis Models in Breast Cancer Prediction;Wang R.;Journal of Physics: Conference Series,2022

4. Breast Cancer Detection with Machine Learning

5. Comparison of breast cancer classification models on Wisconsin dataset;Kadhim R. R.;Int J Reconfigurable & Embedded Syst ISSN,2022

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