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Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video.

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第一作者： Yanhui,Guo

第一单位： Department of Computer Science, University of Illinois at Springfield, Springfield, IL USA.

作者： Yanhui,Guo ^[1] ; Shuang-Quan,Jiang ^[2] ; Baiqing,Sun ^[3] ; Siuly,Siuly ^[4] ; Abdulkadir,Şengür ^[5] ; Jia-Wei,Tian ^[2]

作者单位： Department of Computer Science, University of Illinois at Springfield, Springfield, IL USA. ^[1] Department of Ultrasound, Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang China. ^[2] School of Management, Harbin Institute of Technology, Harbin, Heilongjiang China. ^[3] Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, VIC Australia. ^[4] Department of Electrical and Electronics Engineering, Firat University, Elazig, Turkey. ^[5]

关键词 Elastogram Graph cut Indeterminate filtering Neutrosophic set Thyroid ultrasound

DOI 10.1007/s13755-017-0032-y

PMID 29109858

发布时间 2020-09-30

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Health information science and systems

2017年5卷1期

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Health information science and systems

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Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video.

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Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video.

Health information science and systems

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Health information science and systems

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