A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics

被引:0
作者
Jeroen Bleker
Thomas C. Kwee
Dennis Rouw
Christian Roest
Jaap Borstlap
Igle Jan de Jong
Rudi A. J. O. Dierckx
Henkjan Huisman
Derya Yakar
机构
[1] University of Groningen,Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen
[2] Martini Hospital Groningen,Department of Radiology
[3] Treant Zorggroep,Department of Radiology
[4] University of Groningen,Department of Urology, University Medical Center Groningen
[5] Radboud University Medical Center,Department of Radiology and Nuclear Medicine
来源
European Radiology | 2022年 / 32卷
关键词
Biomarkers; Deep learning; Prostatic neoplasms; Multi-center study; Data curation;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:6526 / 6535
页数:9
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[1]  
Siegel RL(2021)Cancer statistics, 2021 CA Cancer J Clin 71 7-33
[2]  
Miller KD(2020)Prospective evaluation of PI-RADS AJR Am J Roentgenol 215 1-6
[3]  
Fuchs HE(2019)AI in health: state of the art, challenges, and future directions Yearb Med Inform 28 16-26
[4]  
Jemal A(2019)Deep learning techniques for medical image segmentation: achievements and challenges J Digit Imaging 32 582-596
[5]  
Walker SM(2018)Quantitative characterisation of clinically significant intra-prostatic cancer by prostate-specific membrane antigen (PSMA) expression and cell density on PSMA-11 Eur Radiol 28 5275-5283
[6]  
Harmon SA(2020)Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data Sci Rep 10 1-12
[7]  
Sanford T(2016)Going digital: a survey on digitalization and large-scale data analytics in healthcare Proc IEEE 104 2180-2206
[8]  
Wang F(2020)Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer Eur Radiol 30 1313-1324
[9]  
Preininger A(2020)MS-Net: multi-site network for improving prostate segmentation with heterogeneous MRI data IEEE Trans Med Imaging 39 2713-2724
[10]  
Hesamian MH(2011)A critical analysis of the tumor volume threshold for clinically insignificant prostate cancer using a data set of a randomized screening trial J Urol 185 121-125