Early detection of skin cancer using deep learning approach

Authors

  • Ibrahim AlShourbaji
  • Ghassan Samara
  • Hussam abu Munshar
  • Waleed A Zogaan
  • Faheem A Reegu
  • Shadab alam
  • Muhammad Saidu Aliero

Keywords:

Skin cancer;image classification;Deep learning; CNN; Machine learning

Abstract

Skin cancer is a worldwide epidemic. A computerised instrument allows spotting small shifts to change the skin's functionality in an early stage. This paper utilises Convolutional Neural Network (CNN) to identify skin cancers Theattained results demonstrate that the CNN method can effectively identify melanoma and benign cases from X-ray images. This work can help doctors to diagnose cancer in the skin in an initial stage and treat it successfully.

Downloads

Published

2023-12-19

How to Cite

Ibrahim AlShourbaji, Ghassan Samara, Hussam abu Munshar, Waleed A Zogaan, Faheem A Reegu, Shadab alam, & Muhammad Saidu Aliero. (2023). Early detection of skin cancer using deep learning approach. Elementary Education Online, 20(5), 3880–3884. Retrieved from https://ilkogretim-online.org/index.php/pub/article/view/6002

Issue

Section

Articles