Prostate Cancer Imaging Prostate Cancer Imaging

Prostate Cancer Imaging

An Engineering and Clinical Perspective

Ayman El-Baz and Others
    • $59.99
    • $59.99

Publisher Description

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.
Explores all of the latest research and developments in state-of-the art imaging of the prostate from world class experts.Contains a comprehensive overview of 2D/3D Shape Modeling for MRI data.Presents a detailed examination of automated segmentation of the prostate in 3D imaging.Examines Computer-Aided-Diagnosis through automated techniques.There will be extensive references at the end of each chapter to enhance further study.

GENRE
Professional & Technical
RELEASED
2018
October 31
LANGUAGE
EN
English
LENGTH
392
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
36.4
MB

More Books by Ayman El-Baz, Gyan Pareek & Jasjit S. Suri

Autism Imaging and Devices Autism Imaging and Devices
2017
Machine Learning in Medicine Machine Learning in Medicine
2021
Lung Imaging and CADx Lung Imaging and CADx
2019
Big Data in Multimodal Medical Imaging Big Data in Multimodal Medical Imaging
2019
Level Set Method in Medical Imaging Segmentation Level Set Method in Medical Imaging Segmentation
2019
Cardiovascular Imaging and Image Analysis Cardiovascular Imaging and Image Analysis
2018