Vision-based atopic dermatitis detection

Atopic dermatitis is a chronic disease that makes skin red and itchy. The atopic dermatitis extremity is primarily evaluated on visual inspection by medical practitioners. There is no standard and automated method for evaluating atopic dermatitis severity. This paper proposes atopic dermatitis detec...

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Main Authors: Madake, Jyoti, Rathod, Sagar, Shelgaonkar, Varda, Samale, Snehal, Bhatlwande, Shripad, Shilaskar, Swati
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Dermatitis
Feature extraction
Machine learning
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creator Madake, Jyoti
Rathod, Sagar
Shelgaonkar, Varda
Samale, Snehal
Bhatlwande, Shripad
Shilaskar, Swati
description Atopic dermatitis is a chronic disease that makes skin red and itchy. The atopic dermatitis extremity is primarily evaluated on visual inspection by medical practitioners. There is no standard and automated method for evaluating atopic dermatitis severity. This paper proposes atopic dermatitis detection using computer vision and machine learning-based techniques. The proposed method combines feature extraction using GLCM-based Haralick features and Light Gradient Boosting Machine Classifier. This paper represents the effectiveness of using a computer vision-based approach for atopic dermatitis detection with a medium-scale dataset and its potential for dermatitis classification with 83% accuracy.
doi_str_mv 10.1063/5.0186847
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subjects Computer vision
Dermatitis
Feature extraction
Machine learning
title Vision-based atopic dermatitis detection
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