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Volumn , Issue , 2010, Pages 2516-2519

Unsupervised tissue image segmentation through object-oriented texture

Author keywords

Image segmentation; Quantitative medical image analysis; Texture analysis

Indexed keywords

MEDICAL IMAGE ANALYSIS; OBJECT ORIENTED; QUANTITATIVE RESULT; REGION GROWING; SEGMENTATION ALGORITHMS; SEGMENTED REGIONS; SPATIAL INFORMATIONS; TEXTURE ANALYSIS; TISSUE COMPONENTS; TISSUE IMAGE SEGMENTATION; TISSUE IMAGES; UNSUPERVISED SEGMENTATION;

EID: 78149475295     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.616     Document Type: Conference Paper
Times cited : (8)

References (9)
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  • 4
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    • Deng, Y.1    Manjunath, B.S.2
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  • 6
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    • A.B. Tosun, M. Kandemir, C. Sokmensuer, C. Gunduz-Demir, "Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection", Pattern Recognit., vol. 42 (6), pp. 1104-1112, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.