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Breast cancer diagnosis based on feature extraction by hybrid of k-means and Extreme Learning Machine Algorithms

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Title: Breast cancer diagnosis based on feature extraction by hybrid of k-means and Extreme Learning Machine Algorithms

Authors: S. Chidambaranathan

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 7

Language: English

Keywords: Breast CancerK-MeansExtreme Learning Algorithm (ELM)

Categories
Computer Science (14978) Feature Extraction (31) Hybrid Algorithms (5) Breast Cancer Detection (11) Machine Learning (3478)

Abstract

Cancer is the most dreadful disease and breast cancer is the most commonly diagnosed disease. Automated disease diagnosis has gained substantial research interest these years. In this paper, a breast cancer detection algorithm that relies on different geometrical features of the image, k-means and Extreme Learning Algorithm (ELM) is proposed. The experimental results of the proposed algorithm are satisfactory in terms of detection accuracy and time complexity.

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