Segmentation of prostate zones using probabilistic atlas-based method with diffusion-weighted MR images-Reference-Cited by-同舟云学术

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Segmentation of prostate zones using probabilistic atlas-based method with diffusion-weighted MR images

Published:2020-11 Issue: Volume:196 Page:105572
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Singh Dharmesh,Kumar Virendra,Das Chandan J.,Singh Anup,Mehndiratta Amit

Funder

Ministry of Human Resource Development

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference37 articles.

1. Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries;Bray;CA Cancer J. Clin.,2018

2. Prostate MRI segmentation using learned semantic knowledge and graph cuts;Mahapatra;IEEE Trans. Biomed. Eng.,2014

3. Evaluating the role of mpMRI in prostate cancer assessment;Mertan;Exp. Rev. Med. Dev.,2016

4. Normal central zone of the prostate and central zone involvement by prostate cancer: clinical and MR imaging implications;Vargas;Radiology,2012

5. The abnormal prostate: MR imaging at 1.5 T with histopathologic correlation;Carrol;Radiology,1987

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