دورية أكاديمية
An Intelligent Dynamic MRI System for Automatic Nasal Tumor Detection
| العنوان: | An Intelligent Dynamic MRI System for Automatic Nasal Tumor Detection |
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| المؤلفون: | Wen-Chen Huang, Chun-Liang Liu |
| المصدر: | Advances in Fuzzy Systems, Vol 2012 (2012) |
| بيانات النشر: | Wiley, 2012. |
| سنة النشر: | 2012 |
| المجموعة: | LCC:Electrical engineering. Electronics. Nuclear engineering LCC:Computer software |
| مصطلحات موضوعية: | Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765 |
| الوصف: | Dynamic magnetic resonance images (DMRIs) are one of the major tools for diagnosing nasal tumors in recent years. The purpose of this research is to propose a new method to be able to automatically detect tumor region and compare three classifiers' tumor detection performance for DMRI. These three classifiers are AdaBoost, SVM, and Bayes-Gaussian classifier. Three measurable metrics, sensitivity, specificity, accuracy values, match percent, and correspondence ratio, are used for evaluation of each specific classifiers. The experimental results show that SVM has the best sensitivity value, and Bayesian classifier has the best specificity and accuracy values. Moreover, the detected tumor regions that are marked with red color are shown by using each of these three classifiers. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-7101 1687-711X |
| Relation: | https://doaj.org/toc/1687-7101; https://doaj.org/toc/1687-711X |
| DOI: | 10.1155/2012/272570 |
| URL الوصول: | https://doaj.org/article/a962042b593441cb813f7677fecb4371 |
| رقم الأكسشن: | edsdoj.962042b593441cb813f7677fecb4371 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16877101 1687711X |
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| DOI: | 10.1155/2012/272570 |