A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI

scientific article published on 18 September 2020

A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI is …
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scholarly articleQ13442814

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P356DOI10.3390/DIAGNOSTICS10090714
P932PMC publication ID7555425
P698PubMed publication ID32961895

P50authorTone F. BathenQ61104171
Mohammed R S SunoqrotQ89534811
P2093author name stringRadka Stoyanova
Mattijs Elschot
Elise Sandsmark
Kirsten M Selnæs
Olmo Zavala-Romero
Gabriel A Nketiah
P2860cites workUse of MRI-ultrasound Fusion to Achieve Targeted Prostate BiopsyQ91599257
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Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality controlQ92706494
Radiomics Based on Multiparametric Magnetic Resonance Imaging to Predict Extraprostatic Extension of Prostate CancerQ96954581
Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognitionQ98184641
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Segmentation of prostate and prostate zones using deep learning : A multi-MRI vendor analysisQ90715494
Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentationQ91289458
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Regularization Paths for Generalized Linear Models via Coordinate DescentQ29614491
N4ITK: improved N3 bias correctionQ30432754
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challengeQ34065836
Prostate cancer: computer-aided diagnosis with multiparametric 3-T MR imaging--effect on observer performance.Q38064415
Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a reviewQ38369377
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.Q38823361
MRI of the prostate: interobserver agreement compared with histopathologic outcome after radical prostatectomyQ46903275
Computational Radiomics System to Decode the Radiographic PhenotypeQ47623355
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue9
P577publication date2020-09-18
P1433published inDiagnosticsQ27726498
P1476titleA Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI
P478volume10