Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection

Pattern Recognition

Volumn 42, Issue 6, 2009, Pages 1104-1112

  Tosun, Akif Burak ^a   Kandemir, Melih ^a   Sokmensuer, Cenk ^b   Gunduz Demir, Cigdem ^a  

^a BILKENT UNIVERSITY   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Cancer detection; Colon adenocarcinoma; Histopathological image analysis; Image segmentation; Object oriented texture

Indexed keywords

BIOPSY; DIGITAL IMAGE STORAGE; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; PIXELS; TEXTURES;

CANCER DETECTION; COLON ADENOCARCINOMA; COLOR DISTRIBUTIONS; HISTOPATHOLOGICAL IMAGE ANALYSIS; OBJECT-ORIENTED SEGMENTATIONS; OBJECT-ORIENTED TEXTURE; PIXEL DISTRIBUTIONS; QUANTITATIVE ANALYSIS; SEGMENTATION ACCURACIES; STAINING METHODS; TISSUE COMPONENTS; UNSUPERVISED SEGMENTATIONS;

OBJECT RECOGNITION;

EID: 59249098935     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.07.007     Document Type: Article

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