BREAST CANCER DIAGNOSIS USING WRAPPER-BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORK

BREAST CANCER DIAGNOSIS USING WRAPPER-BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORK

Breast cancer is commonest type of cancers among women. Early diagnosis plays a significant role in reducing the fatality rate. The main objective of this study is to propose an efficient approach to classify breast cancer tumor into either benign or malignant based on digitized image of a fine need...

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Bibliographic Details
Main Authors: Nawazish NAVEED, Hayan T. MADHLOOM, Mohd Shahid HUSAIN
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2021-09-01
Series:Applied Computer Science
Subjects:
breast cancer diagnosis
feature selection
neural network
grid search
machine learning
Online Access:http://www.acs.pollub.pl/pdf/v17n3/2.pdf

Internet

http://www.acs.pollub.pl/pdf/v17n3/2.pdf

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