Application of hierarchical clustering to multi-parametric MR in prostate: Differentiation of tumor and normal tissue with high accuracy-Reference-Cited by-同舟云学术

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Application of hierarchical clustering to multi-parametric MR in prostate: Differentiation of tumor and normal tissue with high accuracy

Published:2020-12 Issue: Volume:74 Page:90-95
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Akamine Yuta,Ueda Yu,Ueno Yoshiko,Sofue Keitaro,Murakami Takamichi,Yoneyama Masami,Obara Makoto,Van Cauteren Marc

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference43 articles.

1. Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis;de Rooij;Am J Roentgenol,2014

2. PI-RADS prostate imaging—reporting and data system: 2015, version 2;Weinreb;Eur Urol,2016

3. Multiparametric magnetic resonance imaging for transition zone prostate cancer: essential findings, limitations, and future directions;Lewis;Abdom Radiol,2017

4. Current applications and future impact of machine learning in radiology;Choy;Radiology,2018

5. A survey on deep learning in medical image analysis;Litjens;Med Image Anal,2017

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