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Volumn 80, Issue 1, 2005, Pages 47-55

Computerized segmentation of whole-body bone scintigrams and its use in automated diagnostics

Author keywords

Automatic segmentation; Image processing; Machine learning; Reference point detection; Whole body bone scintigraphy

Indexed keywords

ALGORITHMS; IMAGE ANALYSIS; LEARNING SYSTEMS; OPTICAL RESOLVING POWER; PATHOLOGY;

EID: 25144496164     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2005.06.001     Document Type: Article
Times cited : (24)

References (20)
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    • Validation of a rapid computerized method of measuring 99mTc pertechnetate uptake for routine assessment of thyroid structure and function
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    • A computer-aided diagnosis for locating abnormalities in bone scintigraphy by a fuzzy system with a three-step minimization approach
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    • Artifacts and non-osseous uptake in bone scintigraphy. Imaging reports of 20 cases
    • M.G. Weiner, L. Jenicke, V. Müller, and H.K. Bohuslavizki Artifacts and non-osseous uptake in bone scintigraphy. Imaging reports of 20 cases Radiol. Oncol. 35 3 2001 185 191
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.