A Decision Machine Learning Support System for Human Skin Disease Classifier

Pakkapat Banditsingha, Tipajin Thaipisutikul, Timothy K. Shih, Chih Yang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

For the past decades, the prevalence of dermatological disorders, especially human skin diseases, has been rising. The majority of these diseases are contagious and are also based on visual perceptions. Although many works have shown promising results on the image classification problem, only a few studies compare traditional machine learning models and the recent deep learning models with various metrics on human skin diseases classification. Therefore, in this paper, we propose A Decision Machine Learning Support System for Human Skin Disease Classifier (DSSC) to classify five skin disease classes, including 750 images gained from the Dermnet dataset. In particular, we perform image pre-processing, image resizing, image interpolation, and image augmentation to adjust the input images into the proper format for all models. Through the extensive experiments, RestNet50 outperforms other deep learning and traditional machine learning methods in all metrics, including accuracy, precision, recall, and F-measure by a large margin.

Original languageEnglish
Title of host publication7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages200-204
Number of pages5
ISBN (Electronic)9781665495103
DOIs
StatePublished - 2022
Event7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022 - Chiang Rai, Thailand
Duration: 26 Jan 202228 Jan 2022

Publication series

Name7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022

Conference

Conference7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022
Country/TerritoryThailand
CityChiang Rai
Period26/01/2228/01/22

Keywords

  • decision support system
  • deep learning
  • image processing
  • machine learning
  • skin disease classification

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