Attention-aware Deep Learning Models for Dermoscopic Image Classification for Skin Disease Diagnosis.

Journal: Current medical imaging
PMID: 40259872

Abstract

BACKGROUND: The skin, being the largest organ in the human body, plays a vital protective role. Skin lesions are changes in the appearance of the skin, such as bumps, sores, lumps, patches, and discoloration. If not identified and treated promptly, skin lesion diseases would become a serious and worrisome problem for society due to their detrimental effects. However, visually inspecting skin lesions during medical examinations can be challenging due to their similarities.

Authors

  • Malliga Subramanian
    Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, India.
  • Kogilavani Shanmugavadivel
    Department of Computer Science Engineering, Kongu Engineering College, Perundurai, Erode, 638 060 Tamil Nadu, India.
  • Sudha Thangaraj
    Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India.
  • Jaehyuk Cho
    Department of Software Engineering & Division of Electronics and Information Engineering, Jeonbuk National University, Jeonju-si, Republic of South Korea.
  • Sathishkumar Ve
    Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea.

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