ABSTRACT
This book covers novel strategies and state of the art approaches for automated non-invasive systems for early prostate cancer diagnosis. Prostate cancer is the most frequently diagnosed malignancy after skin cancer and the second leading cause of cancer related male deaths in the USA after lung cancer. However, early detection of prostate cancer increases chances of patients’ survival. Generally, The CAD systems analyze the prostate images in three steps: (i) prostate segmentation; (ii) Prostate description or feature extraction; and (iii) classification of the prostate status.
TABLE OF CONTENTS
chapter 2|13 pages
Transrectal Ultrasound (TRUS)-Guided Prostate Biopsy
Historical Perspective and Contemporary Clinical Application
chapter 10|77 pages
Computer-Aided Diagnosis Systems for Prostate Cancer Detection
Challenges and Methodologies
chapter 11|24 pages
Early Diagnosis and Staging of Prostate Cancer Using Magnetic Resonance Imaging
State of the Art and Perspectives
chapter 15|35 pages
Precision Imaging of Prostate Cancer
Computer-Aided Detection and Their Clinical Applications
chapter 16|22 pages
Computer-Aided Diagnosis of Prostate Magnetic Resonance Imaging
From Bench to Bedside