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Advanced Skin Cancer Detection Using Dual Partial Attention Aware Multiple Convolutional Framework

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(5), 26
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : September 1, 2025
  • Accepted : October 10, 2025
  • Published : October 31, 2025

Muhammad Danish Ali 1 In-Chul Han 2 KIM, SOO KYUN 2

1제주대학교 전자공학전공
2제주대학교

Accredited

ABSTRACT

Melanoma and non-melanoma skin cancers are among the most common types of skin cancer, with millions of new cases reported worldwide each year. Skin cancer arises from the uncontrolled proliferation of skin cells caused by DNA damage due to UV radiation exposure. Early detection enables high recovery rates, whereas late detection may lead to malignant tumor growth and make treatment more difficult. This study proposes the Dual Vision Partial Attention Channel (DV-PAC), a multi convolutional neural network framework that combines the strengths of ResNet-50 and VGG-19. The proposed model enhances feature representation and improves classification accuracy through a partial attention mechanism. The performance of the model is evaluated using the HAM10000 dataset, a widely used benchmark for dermoscopic image analysis.

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