Medical image classification and symptoms detection using neuro fuzzy
The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. MR images also always contain a noise caused by operator performance wh...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2008
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| الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/9503/1/MohdAriffananMFKE2008.pdf |
| الوسوم: |
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my-utm-ep.9503 |
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my-utm-ep.95032018-07-19T01:51:05Z Medical image classification and symptoms detection using neuro fuzzy 2008-11 Mohd. Basri, Mohd. Ariffanan RZ Other systems of medicine TK Electrical engineering. Electronics Nuclear engineering QA76 Computer software The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. MR images also always contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques, for instance, neural networks, fuzzy logic, neuro fuzzy have shown great potential in this field. Hence, in this project the neuro fuzzy system or ANFIS was applied for classification and detection purposes. Decision making was performed in two stages: feature extraction using the principal component analysis (PCA) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS classifier has potential in detecting the tumors. 2008-11 Thesis http://eprints.utm.my/id/eprint/9503/ http://eprints.utm.my/id/eprint/9503/1/MohdAriffananMFKE2008.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:855?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
| institution |
Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| language |
English |
| topic |
RZ Other systems of medicine RZ Other systems of medicine QA76 Computer software |
| spellingShingle |
RZ Other systems of medicine RZ Other systems of medicine QA76 Computer software Mohd. Basri, Mohd. Ariffanan Medical image classification and symptoms detection using neuro fuzzy |
| description |
The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. MR images also always contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques, for instance, neural networks, fuzzy logic, neuro fuzzy have shown great potential in this field. Hence, in this project the neuro fuzzy system or ANFIS was applied for classification and detection purposes. Decision making was performed in two stages: feature extraction using the principal component analysis (PCA) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS classifier has potential in detecting the tumors. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Mohd. Basri, Mohd. Ariffanan |
| author_facet |
Mohd. Basri, Mohd. Ariffanan |
| author_sort |
Mohd. Basri, Mohd. Ariffanan |
| title |
Medical image classification and symptoms detection using neuro fuzzy |
| title_short |
Medical image classification and symptoms detection using neuro fuzzy |
| title_full |
Medical image classification and symptoms detection using neuro fuzzy |
| title_fullStr |
Medical image classification and symptoms detection using neuro fuzzy |
| title_full_unstemmed |
Medical image classification and symptoms detection using neuro fuzzy |
| title_sort |
medical image classification and symptoms detection using neuro fuzzy |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2008 |
| url |
http://eprints.utm.my/id/eprint/9503/1/MohdAriffananMFKE2008.pdf |
| _version_ |
1747814741619769344 |