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...

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Principais autores:	Mohammadreza Azizian, Mahnaz Etehadtavakol, Saeed Khanbabapour, Azar Baradaran, Milad Baradaran, Ahmad Shanei
Format:	Artigo
Jezik:	Persa
Izdano:	Isfahan University of Medical Sciences 2021-02-01
Serija:	مجله دانشکده پزشکی اصفهان
Teme:	prostate, neoplasms, computers, estimation techniques
Online dostop:	http://jims.mui.ac.ir/index.php/jims/article/view/13075
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