000			01624nam a22002297a 4500
003			OSt
005			20240305192259.0
008			220112b |||||||| |||| 00| 0 eng d
020			_a9781498786232
020			_a 1498786235
040			_cData Centre
100			_a Ayman El-Baz _98044
245			_aProstate Cancer Imaging _bAn Engineering and Clinical Perspective
250			_a illustrated
260			_aLondon _b CRC Press _c2018
300			_a376 pages
520			_aThis 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.
600			_xProstate _928613
700			_aGyan Pareek _98052
700			_aJasjit S. Suri _98053
942			_2ddc _cEB
999			_c4089 _d4089