Classification of Prostate Cancerous Tissues by Support Vector Machine Algorithm with Different Kernels from T2-Weighted Magnetic Resonance Images
Background: Prostate cancer is one of the most prevalent cancer types in Iran and worldwide. Prostate cancer imaging had been promoted using magnetic resonance imaging (MRI). The aim of present study was to estimate prostate tumors volume by a computerized approach. Methods: By using a Matlab comma...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Vesnu Publications
2021-02-01
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| Series: | مجله دانشکده پزشکی اصفهان |
| Subjects: | |
| Online Access: | http://jims.mui.ac.ir/index.php/jims/article/view/13075 |