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A review of skin cancer detection
Joint Authors
Husayn, Muhammad Kazim
Stephan, Jane Jalil
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 13, Issue 1 (31 Mar. 2021), pp.67-76, 10 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2021-03-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
It can be said that the most common or common health disease is a skin disease.
skin diseases are often determined by doctors' experience and sample results (skin biopsy), and it is certainly a time-consuming process.
Therefore, there has become an urgent need for an automated system (computer) to identify and discover skin diseases through images with very high accuracy, with fewer doctors or experts in this purview.
Identification and classification of the skin disease through the feature/s and characteristics that were taken from these images.
Since skin diseases have very similar optical properties And therefore add a lot more challenges to choosing the useful feature/s of the image.
This means that the accurate analysis of these skin diseases through images will have a good prognosis, short diagnostic time, and speed in diagnosis, and thus it will facilitate and cost-effective treatment.
This paper provides an overview or study on the different methods and techniques for identifying and classifying skin diseases, which are traditional technology and technology based on deep learning.
American Psychological Association (APA)
Husayn, Muhammad Kazim& Stephan, Jane Jalil. 2021. A review of skin cancer detection. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 13, no. 1, pp.67-76.
https://search.emarefa.net/detail/BIM-1266379
Modern Language Association (MLA)
Husayn, Muhammad Kazim& Stephan, Jane Jalil. A review of skin cancer detection. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 13, no. 1 (2021), pp.67-76.
https://search.emarefa.net/detail/BIM-1266379
American Medical Association (AMA)
Husayn, Muhammad Kazim& Stephan, Jane Jalil. A review of skin cancer detection. al-Qadisiyah Journal for Computer Science and Mathematics. 2021. Vol. 13, no. 1, pp.67-76.
https://search.emarefa.net/detail/BIM-1266379
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 75-76
Record ID
BIM-1266379