PROSTATE CANCER IMAGING. AN ENGINEERING AND CLINICAL PERSPECTIVE

PROSTATE CANCER IMAGING. AN ENGINEERING AND CLINICAL PERSPECTIVE

Editorial:
CRC PRESS
Año de edición:
Materia
Oncología
ISBN:
978-1-4987-8623-2
Páginas:
450
N. de edición:
1
Idioma:
Inglés
Ilustraciones:
128
Disponibilidad:
Disponible en 2-3 semanas

Descuento:

-5%

Antes:

195,00 €

Despues:

185,25 €

Chapter 1 History of Imaging for Prostate Cancer
Chapter 2 Transrectal Ultrasound (TRUS) Guided Prostate Biopsy: Historical Perspective and Contemporary Clinical Application
Chapter 3 "Current Active Surveillance Protocol for Prostate Cancer" In: Prostate Cancer Imaging: An Engineering and Clinical Perspective
Chapter 4 Prostate MRI
Chapter 5 Current Role and Evolution of MRI Fusion Biopsy For Prostate Cancer
Chapter 6 Current Role of Focal Therapy for Prostate Cancer
Chapter 7 High-Intensity Focused Ultrasound (HIFU)
Chapter 8 Current role of Cryotherapy in the treatment of Prostate Cancer
Chapter 9 TRANSPERINEAL MAPPING OF THE PROSTATE FOR BIOPSY STRATEGIES
Chapter 10 Computer-Aided Diagnosis Systems for Prostate Cancer Detection: Challenges and Methodologies
Chapter 11 EARLY DIAGNOSIS AND STAGING OF PROSTATE CANCER USING MAGNETIC RESONANCE IMAGING:
Chapter 12 A DCE-MRI-Based Non-invasive CAD System for Prostate Cancer Diagnosis
Chapter 13 Prostate Segmentation from DW-MRI Using Level-set Guided by Nonnegative Matrix Factorization
Chapter 14 AUTOMATED PROSTATE IMAGE RECOGNITION AND SEGMENTATION
Chapter 15 PRECISION IMAGING OF PROSTATE CANCER: COMPUTER-AIDED DETECTION AND THEIR CLINICAL APPLICATIONS
Chapter 16 COMPUTER AIDED DIAGNOSIS OF PROSTATE MAGNETIC RESONANCE IMAGING: FROM BENCH TO BEDSIDE
Chapter 17 MAGNETIC RESONANCE IMAGING IN THE DETECTION OF PROSTATE CANCER
Chapter 18 Diagnosing Prostate Cancer Based on Deep Learning with a Stacked Non-negativity Constraint Auto-encoder
Chapter 19 MRI Imaging of Seminal Vesicle Invasion (SVI) in Prostate Adenocarcinoma

This will be a comprehensive overview of the latest research, technologies and innovations in minimally invasive imaging of the prostate gland and prostate cancer imaging. A major focus will be 3D image segmentation along with computer-aided-diagnosis techniques for prostate cancer. Also featured are automated segmentation methods featuring ultrasound and MRI techniques. A number of the authors are world-class experts in the field ranging from the US, Europe, and Asia.