Detection of Cerebral Microbleeds in MR Images Using a Single-Stage Triplanar Ensemble Detection Network (TPE-Det).

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作者： Haejoon,Lee ^[1] ; Jun-Ho,Kim ^[2] ; Seul,Lee ^[1] ; Kyu-Jin,Jung ^[1] ; Woo-Ram,Kim ^[1] ; Young,Noh ^[3] ; Eung Yeop,Kim ^[3] ; Koung Mi,Kang ^[4] ; Chul-Ho,Sohn ^[5] ; Dong Young,Lee ^[6] ; Mohammed A,Al-Masni ^[7] ; Dong-Hyun,Kim ^[6]

作者单位： Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, Republic of Korea. ^[1] Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. ^[2] Neuroscience Research Institute, Gachon University, Incheon, Republic of Korea. ^[3] Department of Neurology, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea. ^[4] Department of Radiology, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea. ^[5] Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea. ^[6] Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. ^[7] Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea. ^[8] Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea. ^[9] Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea. ^[10] Department of Artificial Intelligence, College of Software & Convergence Technology, Daeyang AI Center, Sejong University, Seoul, Republic of Korea. ^[11]

关键词 CNNs EfficientDet cerebral microbleeds computer-aided detection deep learning susceptibility-weighted imaging

主题词男(雄)性(Male);人类(Humans);女(雌)性(Female);磁共振成像(Magnetic Resonance Imaging);脑出血(Cerebral Hemorrhage);回顾性研究(Retrospective Studies);脑(Brain)

DOI 10.1002/jmri.28487

PMID 36285604

发布时间 2023-06-12

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