Evaluation of an Automated Analysis Tool for Prostate Cancer Prediction Using Multiparametric Magnetic Resonance Imaging

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Computer aided detection in prostate cancer diagnostics: A promising alternative to biopsy? A retrospective study from 104 lesions with histological ground truth.

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P2860

Evaluation of an Automated Analysis Tool for Prostate Cancer Prediction Using Multiparametric Magnetic Resonance Imaging

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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Evaluation of an Automated Ana ...... ric Magnetic Resonance Imaging

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Evaluation of an Automated Ana ...... ric Magnetic Resonance Imaging

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Evaluation of an Automated Ana ...... ric Magnetic Resonance Imaging

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Evaluation of an Automated Ana ...... ric Magnetic Resonance Imaging

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Evaluation of an Automated Ana ...... ric Magnetic Resonance Imaging

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Evaluation of an Automated Ana ...... ric Magnetic Resonance Imaging

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P2093

Christopher Edler

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Erik Agterhuis

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Heinz-Peter Schlemmer

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Matthias C Roethke

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Maya B Mueller-Wolf

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Timur H Kuru

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P2860

ESUR prostate MR guidelines 2012

Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer.

Use of the Prostate Imaging Reporting and Data System (PI-RADS) for Prostate Cancer Detection with Multiparametric Magnetic Resonance Imaging: A Diagnostic Meta-analysis.

Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Validation of the European Society of Urogenital Radiology scoring system for prostate cancer diagnosis on multiparametric magnetic resonance imaging in a cohort of repeat biopsy patients.

Multi-modal volume registration by maximization of mutual information.

Guidelines for processing and reporting of prostatic needle biopsies.

Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging

The 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma.

Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS

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e0159803

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scholarly article

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10.1371/JOURNAL.PONE.0159803

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English

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Markus Hohenfellner

Boris Hadaschik

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2016-07-25T00:00:00Z

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27454770

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4959716

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Evaluation of an Automated Analysis Tool for Prostate Cancer Prediction Using Multiparametric Magnetic Resonance Imaging

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P2860

P2860

Evaluation of an Automated Analysis Tool for Prostate Cancer Prediction Using Multiparametric Magnetic Resonance Imaging

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type

label

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P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P932