Two-tier tissue decomposition for histopathological image representation and classification

IEEE Transactions on Medical Imaging

Volumn 34, Issue 1, 2015, Pages 275-283

  Gultekin, Tunc ^a   Koyuncu, Can Fahrettin ^a   Sokmensuer, Cenk ^b   Gunduz Demir, Cigdem ^a  

^a BILKENT UNIVERSITY   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

Author keywords

Automated cancer diagnosis; blob; digital pathology; histopathological image representation; tissue decomposition model

Indexed keywords

CLASSIFICATION (OF INFORMATION); PATHOLOGY; PIXELS; TISSUE; TISSUE ENGINEERING;

AUTOMATED CANCER DIAGNOSIS; BLOB; DECOMPOSITION MODEL; DIGITAL PATHOLOGIES; HISTOPATHOLOGICAL IMAGES;

IMAGE CLASSIFICATION;

ARTICLE; CANCER GRADING; CANCER TISSUE; CLASSIFICATION ALGORITHM; COLON; COLON CANCER; COLOR; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIGITAL IMAGING; DIGITAL MICROSCOPE; HISTOGRAM; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MODEL; ALGORITHM; COLON TUMOR; HISTOLOGY; IMAGE PROCESSING; PATHOLOGY; PROCEDURES; THEORETICAL MODEL;

ALGORITHMS; COLON; COLONIC NEOPLASMS; HISTOLOGICAL TECHNIQUES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, THEORETICAL;

EID: 84937567750     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2354373     Document Type: Article

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