SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images.

Journal: Diagnosis (Berlin, Germany)
Published Date: Mar 18, 2024

Abstract

OBJECTIVES: Early skin cancer diagnosis can save lives; however, traditional methods rely on expert knowledge and can be time-consuming. This calls for automated systems using machine learning and deep learning. However, existing datasets often focus on flat skin surfaces, neglecting more complex cases on organs or with nearby lesions.

Authors

  • Sajid Khan
    Department of Computer Science, School of Engineering, Central Asian University, Tashkent, Uzbekistan.
  • Muhammad Asif Khan
    Department of Computer Science, 66972 Sukkur IBA University , Sukkur, Pakistan.
  • Adeeb Noor
    Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Kainat Fareed
    Department of Computer Science, 66972 Sukkur IBA University , Sukkur, Pakistan.

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