A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging-Reference-Cited by-同舟云学术

A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging

Published:2018-05 Issue: Volume:96 Page:252-265
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Chen Weifu,Lin Mingquan,Gibson Eli,Bastian-Jordan Matthew,Cool Derek W.,Kassam Zahra,Liang Huageng,Feng Guocan,Ward Aaron D.,Chiu Bernard

Funder

Basic Research Free Exploration Program of the Science Technology and Innovation Committee of Shenzhen Municipality, China

City University of Hong Kong

NSFC

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

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4. Imaging-guided prostate biopsy: conventional and emerging techniques;Yacoub;Radiographics,2011

5. Serial biopsy results in prostate cancer screening study;Roehl;J. Urol.,2002

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