Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning

被引：0
|
作者：
Sebastian Nowak
Narine Mesropyan
Anton Faron
Wolfgang Block
Martin Reuter
Ulrike I. Attenberger
Julian A. Luetkens
Alois M. Sprinkart
机构：
[1] University Hospital Bonn (Universitätsklinikum Bonn),Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn (QILaB)
[2] German Center for Neurodegenerative Diseases (DZNE),Image Analysis
[3] Massachusetts General Hospital,A.A. Martinos Center for Biomedical Imaging
[4] Harvard Medical School,Department of Radiology
来源：
European Radiology | 2021年 / 31卷
关键词：
Deep learning; Neural networks, computer; Magnetic resonance imaging; Liver cirrhosis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：8807 / 8815
页数：8
相关论文
共 50 条
  • [31] Verification of image quality improvement by deep learning reconstruction to 1.5 T MRI in T2-weighted images of the prostate gland
    Sato, Yoshiomi
    Ohkuma, Kiyoshi
    RADIOLOGICAL PHYSICS AND TECHNOLOGY, 2024, 17 (03) : 756 - 764
  • [32] The detection and visualization of brain tumors on T2-weighted MRI images using multiparameter feature blocks
    Lau, Phooi Yee
    Voon, Frank C. T.
    Ozawa, Shinji
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 5104 - 5107
  • [33] Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study
    Wilpert, Caroline
    Schneider, Hannah
    Rau, Alexander
    Russe, Maximilian Frederic
    Oerther, Benedict
    Strecker, Ralph
    Nickel, Marcel Dominic
    Weiland, Elisabeth
    Haeger, Alexa
    Benndorf, Matthias
    Mayrhofer, Thomas
    Weiss, Jakob
    Bamberg, Fabian
    Windfuhr-Blum, Marisa
    Neubauer, Jakob
    KOREAN JOURNAL OF RADIOLOGY, 2025, 26 (01) : 29 - 42
  • [34] T2-weighted Lung Imaging Using a 0.55-T MRI System
    Campbell-Washburn, Adrienne E.
    Malayeri, Ashkan A.
    Jones, Elizabeth C.
    Moss, Joel
    Fennelly, Kevin P.
    Olivier, Kenneth N.
    Chen, Marcus Y.
    RADIOLOGY-CARDIOTHORACIC IMAGING, 2021, 3 (03):
  • [35] Evaluation of the time window for Resovist-enhanced T2-weighted MRI of the liver
    Reimer, P
    Müller, M
    Marx, C
    Balzer, T
    ACADEMIC RADIOLOGY, 2002, 9 : S336 - S338
  • [36] Breath-hold T2-weighted MRI of the liver at 3 T using the BLADE technique: impact upon image quality and lesion detection
    Rosenkrantz, A. B.
    Mannelli, L.
    Mossa, D.
    Babb, J. S.
    CLINICAL RADIOLOGY, 2011, 66 (05) : 426 - 433
  • [37] Accelerated single-shot T2-weighted fat-suppressed (FS) MRI of the liver with deep learning–based image reconstruction: qualitative and quantitative comparison of image quality with conventional T2-weighted FS sequence
    Krishna Shanbhogue
    Angela Tong
    Paul Smereka
    Dominik Nickel
    Simon Arberet
    Rebecca Anthopolos
    Hersh Chandarana
    European Radiology, 2021, 31 : 8447 - 8457
  • [38] ASSESSMENT OF BRAIN MATURATION BY T2-WEIGHTED MRI
    HASSINK, RI
    HILTBRUNNER, B
    MULLER, S
    LUTSCHG, J
    NEUROPEDIATRICS, 1992, 23 (02) : 72 - 74
  • [39] Performance of PROPELLER relative to standard FSE T2-weighted imaging in pediatric brain MRI
    Vertinsky, A. Talia
    Rubesova, Erika
    Krasnokutsky, Michael V.
    Bammer, Sabine
    Rosenberg, Jarrett
    White, Allan
    Barnes, Patrick D.
    Bammer, Roland
    PEDIATRIC RADIOLOGY, 2009, 39 (10) : 1038 - 1047
  • [40] Editorial for "Comparison of a Deep Learning-Accelerated Versus Conventional T2-Weighted Sequence in Biparametric MRI of the Prostate"
    Wu, Zhe
    Bhayana, Rajesh
    Uludag, Kamil
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 58 (04) : 1065 - 1066
12345