Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things.

Journal: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Published Date: Nov 1, 2023

Abstract

INTRODUCTION: Particularly within the Internet of Medical Things (IoMT) context, skin lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of skin lesion analysis, CAD systems play a crucial role. To segment and classify skin lesions from dermoscopy images, this study focuses on using hybrid deep learning techniques.

Authors

  • Arslan Akram
    Department of Computer Science and Information Technology, Superior University Lahore, Lahore, Pakistan.
  • Javed Rashid
    Department of IT Services, University of Okara, Okara, Pakistan.
  • Muhammad Arfan Jaffar
    Department of Computer Science and Information Technology, Superior University Lahore, Lahore, Pakistan.
  • Muhammad Faheem
    School of Technology and Innovations, University of Vaasa, Vaasa, Finland.
  • Riaz Ul Amin
    MLC Research Lab, Okara, Pakistan.

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