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Eko Nur Wahyudi
Universitas Stikubank
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Journal : Bulletin of Electrical Engineering and Informatics

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Enhancing skin cancer detection using transfer learning and AdaBoost: a deep learning approach Listiyono, Hersatoto; Retnowati, Retnowati; Purwatiningtyas, Purwatiningtyas; Nur Wahyudi, Eko; Maskur, Ali
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.10379

Abstract

Skin cancer is one of the most prevalent types of cancer worldwide, with early detection playing a critical role in improving patient outcomes. In this study, we propose a deep learning model based on LeNet-7 combined with adaptive boosting (AdaBoost) to classify skin lesions as either benign or malignant using the International Skin Imaging Collaboration (ISIC) dataset. We evaluate the proposed model alongside other well-established deep learning architectures, such as residual network (ResNet), VGGNet, and the traditional LeNet model, through various performance metrics including precision, recall, F1-score, specificity, Matthew’s correlation coefficient (MCC), area under the receiver operating characteristic curve (AUC-ROC), and testing accuracy. Our results demonstrate that the proposed model (LeNet-7+AdaBoost) significantly outperforms the other models, achieving a testing accuracy of 91.3%, precision of 0.92, recall of 0.91, and AUC-ROC of 0.93. The model successfully addresses issues of overfitting and generalization, providing a robust solution for skin cancer classification. However, some misclassifications of visually similar benign and malignant lesions highlight areas for future improvement. The proposed model shows promise in real-world medical applications and paves the way for further research into optimizing deep learning models for skin cancer detection.
Co-Authors . Narwati Adi Suryanto Adi, Triatmojo Agus Prasetyo Utomo Ali Maskur Andreantoni, Jefry Arief Jananto Arief Susanto Artin Bayu Mukti Azhari, Andi Budi Hartono Cahyono, Taufik Dwi Cici Suhartini Dwi Agus Diartono Dwi Budi Santoso Edy Supriyanto Edy Supriyanto Edy Supriyanto Eka Ardhianto Endang Lestariningsih Fatkhul Amin Fitika Andraini Hari Murti Hari Murti Heribertus Yulianton Herny Februariyanti Herny Februariyanti Hersatoto Listiyono Imam Husni Al Amin Jati Sasongko Wibowo Kristophorus Hadiono Kurniawan, Harnanda Cahya LUKITO, ADAM Mardi Siswo Utomo Mohamad Ali Muhammad A.R. Hidayat Murti, Hari Novita Mariana P Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas Purwatiningtyas, P R. Soelistijadi Radyanto, Mohammad Riza Rara Sri Artati Redjeki Retnowati Retnowati Retnowati Retnowati Retnowati Reza Haris Alfikri Rizal, Ansar Sariyun Naja Anwar Setyawan Wibisono Sri Mulyani Sri Mulyani Sugiyamto Sugiyamto, Sugiyamto Sulastri Sunardi Sunardi Suparmanto, Lulut Taufiq Dwi Cahyono Teguh Khristianto Theresia Dwiati Wismarini Veronica Lusiana Wahrudin, Wahrudin Widianto Tri Handoko Widiyanto Tri Handoko Wismarini, Th Dwiati Wiwien Hadikurniawati Yohanes Suhari Yunus Anis Yunus Anis, Yunus Ziana, Liana Rahma Zuly Budiarso