An Effective Detection of Skin Cancer Using A Multi-Module ‎CNN

  • Authors

    • S. Mohanalakshmi Department of Electronics and Communication Engineering, Sethu Institute of Technology, Virudhunagar District, Tamil Nadu, India
    • R. Jeya Malar Department of Information Technology, King's Engineering College, Chennai, India
    • I. Felcia Jerlin Department of Computer Science and Engineering, Grace College of Engineering, Mullakadu – 628005, Thoothukudi, Tamil Nadu, ‎India
    • K. Vijetha Department of Electrical Engineering, Medicaps University, Indore, 453331‎, Madhya Pradesh, India
    https://doi.org/10.14419/b1dzrb85

    Received date: March 27, 2025

    Accepted date: July 1, 2025

    Published date: November 15, 2025

  • Skin Cancer; Early Detection; Preprocessing Steps; Multi-Module Convolutional Neural Network; Python Software

  • Abstract

    In modern years, Deep Learning (DL) systems, predominantly Convolutional Neural Networks (CNNs), have shown hopeful outcomes in ‎computer-aided diagnosis and classification of skin lesions. In this paper, an advanced methodology for skin cancer detection is proposed ‎that leverages preprocessing and classification-based multi-module CNN. The proposed method begins with preprocessing and data ‎augmentation steps for improving the resolution of the skin lesions, including noise reduction and contrast enhancement, which optimize the ‎input data for subsequent analysis. Subsequently, a multi-module CNN architecture is employed, consisting of interconnected modules ‎designed to capture diverse features crucial for accurate classification. The overall proposed work is implemented in Python software, and ‎a comparative analysis is carried out with the existing approaches to show the prominence of the developed work. The results of the ‎investigation show that the model created has a high accuracy of 97% and a short classification time, which makes it a useful tool for ‎helping dermatologists detect skin cancer early‎.

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  • How to Cite

    Mohanalakshmi, S. ., Malar, R. J. ., Jerlin, I. F. ., & Vijetha, K. . (2025). An Effective Detection of Skin Cancer Using A Multi-Module ‎CNN. International Journal of Basic and Applied Sciences, 14(7), 404-413. https://doi.org/10.14419/b1dzrb85