Machine learning based prediction of image quality in prostate MRI using rapid localizer images-Reference-Cited by-同舟云学术

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Machine learning based prediction of image quality in prostate MRI using rapid localizer images

Published:2024-03-01 Issue:02 Volume:11 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Al-Hayali Abdullah¹,Komeili Amin²,Azad Azar³,Sathiadoss Paul⁴,Schieda Nicola⁴,Ukwatta Eranga¹

Affiliation:

1. University of Guelph, School of Engineering, Guelph Imaging AI Lab, Guelph, Ontario, Canada

2. University of Calgary, Department of Biomedical Engineering, Calgary, Alberta, Canada

3. A.I. Vali Inc., Toronto, Ontario, Canada

4. University of Ottawa, Department of Radiology, Ottawa, Ontario, Canada

Publisher

SPIE-Intl Soc Optical Eng

Reference46 articles.

1. Evaluating the effect of rectal distension on prostate multiparametric MRI image quality

2. Prostate Imaging Quality (PI-QUAL): A New Quality Control Scoring System for Multiparametric Magnetic Resonance Imaging of the Prostate from the PRECISION trial

3. Prebiopsy Biparametric MRI for Clinically Significant Prostate Cancer Detection With PI-RADS Version 2: A Multicenter Study

4. Detection of Clinically Significant Prostate Cancer: Short Dual–Pulse Sequence versus Standard Multiparametric MR Imaging—A Multireader Study

5. Preparation Strategies for Prostate MRI

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