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  • 标题:Early detection of skin cancer using deep learning approach
  • 本地全文:下载
  • 作者:Ibrahim AlShourbaji ; Ghassan Samara ; Hussam abu Munshar
  • 期刊名称:Ilköğretim Online/Elementary Education Online
  • 印刷版ISSN:1305-3515
  • 电子版ISSN:1305-3515
  • 出版年度:2021
  • 卷号:20
  • 期号:5
  • 页码:3880-3884
  • DOI:10.17051/ilkonline.2021.05.424
  • 语种:English
  • 出版社:Öğretmen Eğitimi Akademisi
  • 摘要: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..
  • 关键词:Skin cancer;image classification;Deep learning;CNN;Machine learnin
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