Using Feature Selection Techniques to Improve the Accuracy of Breast Cancer Classification-Reference-Cited by-同舟云学术

Using Feature Selection Techniques to Improve the Accuracy of Breast Cancer Classification

Published:2019 Issue: Volume: Page:307-315
ISSN:2523-3440
Container-title:Innovations in Smart Cities Applications Edition 2
language:
Short-container-title:

Author:

Saoud Hajar,Ghadi Abderrahim,Ghailani Mohamed,Abdelhakim Boudhir Anouar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-11196-0_28

Reference18 articles.

1. «Breast cancer statistics»: World Cancer Research Fund, 22 Aug 2018. Available on: https://www.wcrf.org/dietandcancer/cancer-trends/breast-cancer-statistics

2. Ganesan, K., Acharya, U.R., Chua, C.K., Min, L.C., Abraham, K.T., Ng, K.-H.: Computer-aided breast cancer detection using mammograms: a review. IEEE Rev. Biomed. Eng. 6, 77–98 (2013)

3. Aalaei, S., Shahraki, H., Rowhanimanesh, A., Eslami, S.: «Feature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets». Iran J. Basic Med. Sci. 19(5), 7 (2016)

4. Saabith, A.L.S., Sundararajan, E., Bakar, A.A.: «Comparative Study on Different Classification Techniques for Breast Cancer Dataset», p. 8 (2014)

5. Gowri A.S. Ramar, D.K.: «A novel approach of feature selection techniques for image dataset». 3(2), 5

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Breast Cancer Learning Model for Selected Features: Comparative Analysis;Studies in Autonomic, Data-driven and Industrial Computing;2024

2. Deep Learning Method Based for Breast Cancer Classification;2023 International Conference on Information Technology Research and Innovation (ICITRI);2023-08-16

3. Fuzzy-ID3 Algorithm for Breast Cancer Disease Classification;2023 9th International Conference on Web Research (ICWR);2023-05-03

4. Innovative Feature Selection Method Based on Hybrid Sine Cosine and Dipper Throated Optimization Algorithms;IEEE Access;2023

5. The study of cross-validated bagging fuzzy-ID3 algorithm for breast cancer classification;Journal of Intelligent & Fuzzy Systems;2022-07-21