Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning method-Reference-Cited by-同舟云学术

Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning method

Published:2019-08-28 Issue:4 Volume:51 Page:1223-1234
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Zabihollahy Fatemeh¹^ORCID,Ukwatta Eranga²,Krishna Satheesh³,Schieda Nicola⁴

Affiliation:

1. Department of Systems and Computer EngineeringCarleton University Ottawa Ontario Canada

2. School of EngineeringUniversity of Guelph Guelph Ontario Canada

3. Department of Medical ImagingUniversity of Toronto Toronto Ontario Canada

4. Department of RadiologyUniversity of Ottawa Ottawa Ontario Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26913

Reference44 articles.

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3. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study

4. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis

5. False positive and false negative diagnoses of prostate cancer at multi-parametric prostate MRI in active surveillance

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