Early detection of breast cancer in mammograms using the lightweight modification of efficientNet B3

Ruza, Nabilah and Hussain, Saiful Izzuan and Che Mohamed, Siti Kamariah and Arzmi, Mohd Hafiz (2023) Early detection of breast cancer in mammograms using the lightweight modification of efficientNet B3. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, 39 (3). pp. 1-7. ISSN 0213-1315 E-ISSN 1886-158X

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Abstract

Breast cancer is one of the leading causes of death in women worldwide and early detection is critical to improving survival rates. In this study, we present a modified deep learning method for automatic feature detection for breast mass classification on mammograms. We propose to use EfficientNet, a Convolutional Neural Network (CNN) architecture that requires minimal parameters. The main advantage of EfficientNet is the small number of parameters, which allows efficient and accurate classification of mammogram images. Our experiments show that EfficientNet, with an overall accuracy of 86.5%, has the potential to be the fundamental for a fully automated and effective breast cancer detection system in the future. Our results demonstrate the potential of EfficientNet to improve the accuracy and efficiency of breast cancer detection compared to other approaches.

Item Type:	Article (Journal)
Uncontrolled Keywords:	EfficientNet, transfer learning, breast mass classification
Subjects:	R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Dentistry > Department of Fundamental Dental and Medical Sciences Kulliyyah of Dentistry
Depositing User:	AP Ts Dr Mohd Hafiz Arzmi
Date Deposited:	20 Nov 2023 13:00
Last Modified:	20 Nov 2023 13:00
URI:	http://irep.iium.edu.my/id/eprint/108242

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