Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

Volume: 15, Issue: 1
Published: Aug 5, 2015
Abstract
Prostate cancer is the most common form of cancer and the second leading cause of cancer death in North America. Auto-detection of prostate cancer can play a major role in early detection of prostate cancer, which has a significant impact on patient survival rates. While multi-parametric magnetic resonance imaging (MP-MRI) has shown promise in diagnosis of prostate cancer, the existing auto-detection algorithms do not take advantage of abundance...
Paper Details
Title
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
Published Date
Aug 5, 2015
Volume
15
Issue
1
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