Automatic measurement of volume percentage stroma in endometrial images using texture segmentation

Journal of Microscopy

Volumn 241, Issue 2, 2011, Pages 171-178

  Law, Y N ^a   Yip, A M ^b   Lee, Hwee ^a  

^a BIOINFORMATICS INSTITUTE   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Endometrial hyperplasia; Feature selection; Mumford Shah segmentation model; Texture segmentation

Indexed keywords

CLUSTERING ALGORITHMS; DIAGNOSIS; IMAGE SEGMENTATION; IMAGE TEXTURE; MICROARRAYS;

AUTOMATIC MEASUREMENTS; DIGITAL MICROSCOPY; ENDOMETRIAL HYPERPLASIA; FEATURES SELECTION; MEASUREMENTS OF; MUMFORD SHAH MODEL; MUMFORD-SHAH SEGMENTATION MODELS; SUBSPACE CLUSTERING; TEXTURE SEGMENTATION; VOLUME PERCENTAGE;

BIOIMAGING;

ALGORITHM; ARTICLE; AUTOMATION; ENDOMETRIAL DISEASE; ENDOMETRIUM; ENTROPY; FEMALE; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MEASUREMENT; MICROSCOPY; MORPHOLOGY; PRIORITY JOURNAL; STROMA; SUBSPACE MUMFORD SHAH MODEL; TISSUE MICROARRAY;

EID: 78651233871     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1111/j.1365-2818.2010.03414.x     Document Type: Article

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