A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection

Şerife Gül Korkut; Hatice Kocabaş; Rifat Kurban

doi:10.31466/kfbd.1515451

EN TR

A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection

Abstract

In this study, a comprehensive comparative analysis of Convolutional Neural Network (CNN) architectures for binary image classification is presented with a particular focus on the benefits of transfer learning. The performance and accuracy of prominent CNN models, including MobileNetV3, VGG19, ResNet50, and EfficientNetB0, in classifying skin cancer from binary images are evaluated. Using a pre-trained approach, the impact of transfer learning on the effectiveness of these architectures and identify their strengths and weaknesses within the context of binary image classification are investigated. This paper aims to provide valuable insights for selecting the optimal CNN architecture and leveraging transfer learning to achieve superior performance in binary image classification applications, particularly those related to medical image analysis.

Keywords

Convolutional Neural Networks (CNNs), Transfer Learning, Binary Image Classification, CNN Architecture Comparison, Skin Cancer Detection

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Şerife Gül Korkut
0009-0007-1398-0924
Türkiye

Hatice Kocabaş
0009-0003-1760-0555
Türkiye

Rifat Kurban ^*
0000-0002-0277-2210
Türkiye

Publication Date

December 15, 2024

Submission Date

July 12, 2024

Acceptance Date

October 14, 2024

Published in Issue

Year 2024 Volume: 14 Number: 4

DOI

https://doi.org/10.31466/kfbd.1515451

IZ

https://izlik.org/JA29RS82CY

APA

Korkut, Ş. G., Kocabaş, H., & Kurban, R. (2024). A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection. Karadeniz Fen Bilimleri Dergisi, 14(4), 2008-2022. https://doi.org/10.31466/kfbd.1515451

AMA

1.Korkut ŞG, Kocabaş H, Kurban R. A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection. KFBD. 2024;14(4):2008-2022. doi:10.31466/kfbd.1515451

Chicago

Korkut, Şerife Gül, Hatice Kocabaş, and Rifat Kurban. 2024. “A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection”. Karadeniz Fen Bilimleri Dergisi 14 (4): 2008-22. https://doi.org/10.31466/kfbd.1515451.

EndNote

Korkut ŞG, Kocabaş H, Kurban R (December 1, 2024) A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection. Karadeniz Fen Bilimleri Dergisi 14 4 2008–2022.

IEEE

[1]Ş. G. Korkut, H. Kocabaş, and R. Kurban, “A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection”, KFBD, vol. 14, no. 4, pp. 2008–2022, Dec. 2024, doi: 10.31466/kfbd.1515451.

ISNAD

Korkut, Şerife Gül - Kocabaş, Hatice - Kurban, Rifat. “A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection”. Karadeniz Fen Bilimleri Dergisi 14/4 (December 1, 2024): 2008-2022. https://doi.org/10.31466/kfbd.1515451.

JAMA

1.Korkut ŞG, Kocabaş H, Kurban R. A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection. KFBD. 2024;14:2008–2022.

MLA

Korkut, Şerife Gül, et al. “A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection”. Karadeniz Fen Bilimleri Dergisi, vol. 14, no. 4, Dec. 2024, pp. 2008-22, doi:10.31466/kfbd.1515451.

Vancouver

1.Şerife Gül Korkut, Hatice Kocabaş, Rifat Kurban. A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection. KFBD. 2024 Dec. 1;14(4):2008-22. doi:10.31466/kfbd.1515451

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A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection

A Comparative Analysis of Convolutional Neural Network Architectures for Binary Image Classification: A Case Study in Skin Cancer Detection

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İkili Görüntü Sınıflandırma için Evrişimsel Sinir Ağı Mimarilerinin Karşılaştırmalı Analizi: Cilt Kanseri Tespitinde Bir Vaka Çalışması

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