Detection of Common Types of Eczema Using Gray Level Co-occurrence Matrix and Support Vector Machine

Author:

Jardeleza Sophia Gabrielle S.1,Jose Jonirille C.1,Villaverde Jocelyn F.1,Ann Latina Mary1

Affiliation:

1. Mapua University,School of Electrical, Electronics and Computer Engineering,Manila,Philippines

Publisher

IEEE

Reference25 articles.

1. Geometric analysis of skin lesion for skin cancer using image processing;linsangan;2018 IEEE 10th International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management HNICEM 2018,2019

2. Tooth Condition Classification for Dental Charting Using Convolutional Neural Network and Image Processing

3. Improved Skin Detection Using Colour Space and Texture;medjram;ICPR 2014-International Conference on Pattern Recognition,2014

4. Image Analysis Model For Skin Disease Detection: Framework

5. Differentiating Atopic Dermatitis and Psoriasis Chronic Plaque using Convolutional Neural Network MobileNet Architecture

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1. Grading of Carica Papaya Using Image Processing and Support Vector Machine on Raspberry PI;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29

2. Morlet wavelet-based feature extraction algorithm with Fuzzy logic for an Iris Recognition System for Non-ideal images;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

3. Detection of Chronic Myelogenous Leukemia Applying Support Vector Machine and Feature Extraction;2023 Seventh International Conference on Advances in Biomedical Engineering (ICABME);2023-10-12

4. Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection;Sensors;2023-08-21

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