Skip to main content
Top

2021 | OriginalPaper | Chapter

7. Artificial Intelligence in Dermatology: A Case Study for Facial Skin Diseases

Authors : Rola El-Saleh, Hazem Zein, Samer Chantaf, Amine Nait-ali

Published in: Advances in Artificial Intelligence, Computation, and Data Science

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The purpose of the first part of this chapter is to cover broadly the concept of using Artificial Intelligence (AI) in the field of dermatology. Afterward, it will mainly focus on facial skin diseases by covering some common AI-based approaches. The aim of this research application is the ability to identify certain pathologies by analyzing face images with present lesions through both AI and computer vision techniques. In particular, a special interest will be addressed to Machine-learning and Deep-learning approaches. In a case study, some key functionalities of a prototype software, developed by our research biometric group, will be presented.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Khongsuwan M, Kiattisin S, Wongseree W, Leelasantitham A (2011) Counting number of points for acne vulgaris using UV fluorescence and image processing. IEEE BMEICON Conference, pp 142–146 Khongsuwan M, Kiattisin S, Wongseree W, Leelasantitham A (2011) Counting number of points for acne vulgaris using UV fluorescence and image processing. IEEE BMEICON Conference, pp 142–146
2.
go back to reference Chang CY, Liao HY (2013) Automatic facial spots and acnes detection system. J. Cosmet. Dermatol. Sci. Appl. 3:28–35 Chang CY, Liao HY (2013) Automatic facial spots and acnes detection system. J. Cosmet. Dermatol. Sci. Appl. 3:28–35
3.
go back to reference Chantharaphaichit T, Uyyanonvara B, Sinthanayothin C, Nishihara A (2015) Automatic acne detection for medical treatment. IEEE IC-ICTES, Conference Chantharaphaichit T, Uyyanonvara B, Sinthanayothin C, Nishihara A (2015) Automatic acne detection for medical treatment. IEEE IC-ICTES, Conference
4.
go back to reference Kittigul N (2017) Automatic acne detection and quantification for medical treatment through image processing. thesis Kittigul N (2017) Automatic acne detection and quantification for medical treatment through image processing. thesis
5.
go back to reference Shen X, Zhang J, Yan C, Zhou H (2018) An automatic diagnosis method of facial acne vulgaris based on convolutional neural network. Sci Reports 8:5839 Shen X, Zhang J, Yan C, Zhou H (2018) An automatic diagnosis method of facial acne vulgaris based on convolutional neural network. Sci Reports 8:5839
6.
go back to reference Amini M, Vasefi F, Valdebran M, Huang K, Zhang H, Kemp W, MacKinnon N (2018) Automated facial acne assessment from smartphone images. In: Proceedings of the SPIE 10497, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVI Amini M, Vasefi F, Valdebran M, Huang K, Zhang H, Kemp W, MacKinnon N (2018) Automated facial acne assessment from smartphone images. In: Proceedings of the SPIE 10497, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVI
7.
go back to reference Binol H, Plotner A, Sopkovich J, Kaffenberger B, Khalil khan Niazi M, Gurcan MN (2020) A deep convolutional neural network for automatic identification of rosacea lesions. Skin Res Technol J 26(3):413–421 Binol H, Plotner A, Sopkovich J, Kaffenberger B, Khalil khan Niazi M, Gurcan MN (2020) A deep convolutional neural network for automatic identification of rosacea lesions. Skin Res Technol J 26(3):413–421
8.
10.
go back to reference Prajapati V, Barankin B (2008) Dermacase. Actinic keratosis. Can Fam Phys 54(5):691–699. PMC 2377206. PMID 18474700 Prajapati V, Barankin B (2008) Dermacase. Actinic keratosis. Can Fam Phys 54(5):691–699. PMC 2377206. PMID 18474700
11.
go back to reference Inceboz T, Yaman A, Over L, Ozturk AT, Akisu C (2009) Diagnosis and treatment of demodectic blepharitis. Turkiye Parazitolojii Dergisi 33(1):32–36. PMID 19367544 Inceboz T, Yaman A, Over L, Ozturk AT, Akisu C (2009) Diagnosis and treatment of demodectic blepharitis. Turkiye Parazitolojii Dergisi 33(1):32–36. PMID 19367544
15.
go back to reference James W, Berger T, Elston D (2005) andrews diseases of the skin: clinical dermatology, 10th ed. Saunders. ISBN 0-7216-2921-0 James W, Berger T, Elston D (2005) andrews diseases of the skin: clinical dermatology, 10th ed. Saunders. ISBN 0-7216-2921-0
16.
go back to reference Nedorost ST (2012) Generalized dermatitis in clinical practice. Springer Science Business Media, Berlin, pp 13–14. ISBN 9781447128977 Nedorost ST (2012) Generalized dermatitis in clinical practice. Springer Science Business Media, Berlin, pp 13–14. ISBN 9781447128977
17.
go back to reference Goodfellow I, Bengio Y, Courville A (2016) Deep learning. MIT Press, Cambridge, p 326 Goodfellow I, Bengio Y, Courville A (2016) Deep learning. MIT Press, Cambridge, p 326
18.
go back to reference CS231n Convolutional Neural Networks for Visual Recognition. cs231n.github.io. Retrieved 2018-12-13 CS231n Convolutional Neural Networks for Visual Recognition. cs231n.github.io. Retrieved 2018-12-13
20.
go back to reference LeCun Y, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, Jackel LD (1989) Backpropagation applied to handwritten zip code recognition. Neural Comput 1(4):541–551CrossRef LeCun Y, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, Jackel LD (1989) Backpropagation applied to handwritten zip code recognition. Neural Comput 1(4):541–551CrossRef
21.
go back to reference Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1–9 Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1–9
Metadata
Title
Artificial Intelligence in Dermatology: A Case Study for Facial Skin Diseases
Authors
Rola El-Saleh
Hazem Zein
Samer Chantaf
Amine Nait-ali
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-69951-2_7

Premium Partner