Medical Texture Recognition Based on Intelligent Technique
The aim of this paper is to improve a disease diagnosing system through classifying the skin diseases depending on the skin images of many patients by using the multiwavelet transformation. First, extract features from multiwavelet coefficients. Second, the skin images are classified as Warts, Vitil...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Unviversity of Technology- Iraq
2016-01-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_112591_267397cf688f1680794fe8174a4018d9.pdf |
| _version_ | 1797325926694912000 |
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| author | Hasanen S. Abduallah Hajer Mazin Salih |
| author_facet | Hasanen S. Abduallah Hajer Mazin Salih |
| author_sort | Hasanen S. Abduallah |
| collection | DOAJ |
| description | The aim of this paper is to improve a disease diagnosing system through classifying the skin diseases depending on the skin images of many patients by using the multiwavelet transformation. First, extract features from multiwavelet coefficients. Second, the skin images are classified as Warts, Vitiligo, Hemangioma, and Normal depending on the decision rules generated by the decision tree using the ID3 learning algorithm. |
| first_indexed | 2024-03-08T06:16:20Z |
| format | Article |
| id | doaj.art-41f10b9de15d42d8a4876f69af8834df |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:16:20Z |
| publishDate | 2016-01-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-41f10b9de15d42d8a4876f69af8834df2024-02-04T17:27:18ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582016-01-01341B12112810.30684/etj.34.1B.14112591Medical Texture Recognition Based on Intelligent TechniqueHasanen S. AbduallahHajer Mazin SalihThe aim of this paper is to improve a disease diagnosing system through classifying the skin diseases depending on the skin images of many patients by using the multiwavelet transformation. First, extract features from multiwavelet coefficients. Second, the skin images are classified as Warts, Vitiligo, Hemangioma, and Normal depending on the decision rules generated by the decision tree using the ID3 learning algorithm.https://etj.uotechnology.edu.iq/article_112591_267397cf688f1680794fe8174a4018d9.pdftexture recognitionmultiwavelet transformationdecision treeskin diseases recognition |
| spellingShingle | Hasanen S. Abduallah Hajer Mazin Salih Medical Texture Recognition Based on Intelligent Technique Engineering and Technology Journal texture recognition multiwavelet transformation decision tree skin diseases recognition |
| title | Medical Texture Recognition Based on Intelligent Technique |
| title_full | Medical Texture Recognition Based on Intelligent Technique |
| title_fullStr | Medical Texture Recognition Based on Intelligent Technique |
| title_full_unstemmed | Medical Texture Recognition Based on Intelligent Technique |
| title_short | Medical Texture Recognition Based on Intelligent Technique |
| title_sort | medical texture recognition based on intelligent technique |
| topic | texture recognition multiwavelet transformation decision tree skin diseases recognition |
| url | https://etj.uotechnology.edu.iq/article_112591_267397cf688f1680794fe8174a4018d9.pdf |
| work_keys_str_mv | AT hasanensabduallah medicaltexturerecognitionbasedonintelligenttechnique AT hajermazinsalih medicaltexturerecognitionbasedonintelligenttechnique |