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Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound.

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第一作者： Haixia,Liu

第一单位： Radboud University Medical Centre , Department of Radiology and Nuclear Medicine, 6525 GA Nijmegen, The Netherlands ; University of Nottingham Malaysia Campus , School Of Computer Science, Room BB79, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia.

作者： Haixia,Liu ^[1] ; Tao,Tan ^[2] ; Jan,van Zelst ^[2] ; Ritse,Mann ^[2] ; Nico,Karssemeijer ^[2] ; Bram,Platel ^[2]

作者单位： Radboud University Medical Centre , Department of Radiology and Nuclear Medicine, 6525 GA Nijmegen, The Netherlands ; University of Nottingham Malaysia Campus , School Of Computer Science, Room BB79, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia. ^[1] Radboud University Medical Centre , Department of Radiology and Nuclear Medicine, 6525 GA Nijmegen, The Netherlands. ^[2]

关键词 Gabor filters computer-aided diagnosis gray level co-occurrence matrix texture features local binary patterns texture features three-dimensional automated breast ultrasound three-dimensional texture features

DOI 10.1117/1.JMI.1.2.024501

PMID 26158036

发布时间 2020-09-30

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Journal of medical imaging (Bellingham, Wash.)

2014年1卷2期

024501页

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Journal of medical imaging (Bellingham, Wash.)

2014年1卷2期

024501页

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Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound.

Journal of medical imaging (Bellingham, Wash.)

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Journal of medical imaging (Bellingham, Wash.)

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Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound.

Journal of medical imaging (Bellingham, Wash.)

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Journal of medical imaging (Bellingham, Wash.)

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