Breast cancer characterization based on image classification of tissue sections visualized under low magnification

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Loukas, C ^a   Kostopoulos, S ^b   Tanoglidi, A ^c   Glotsos, D ^b   Sfikas, C ^c   Cavouras, D ^b  

^a UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

^b UNIVERSITY OF WEST ATTICA   (Greece)

^c Gynaecological Oncology Unit   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; MEDICAL IMAGING; PATTERN RECOGNITION SYSTEMS; SUPPORT VECTOR MACHINES; TEXTURES; TISSUE;

ARCHITECTURAL PATTERN; BREAST CANCER DIAGNOSIS; CLASSIFICATION ACCURACY; PATTERN CLASSIFIER; PATTERN RECOGNITION ALGORITHMS; RAPID ASSESSMENT; REGIONS OF INTEREST; VISUAL EXAMINATION;

IMAGE CLASSIFICATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; BREAST BIOPSY; BREAST CANCER; CANCER CLASSIFICATION; CANCER TISSUE; CLASSIFICATION ALGORITHM; CLINICAL ASSESSMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE SEVERITY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; K NEAREST NEIGHBOR; PATTERN RECOGNITION; PREDICTIVE VALUE; PROBABILISTIC NEURAL NETWORK; SUPPORT VECTOR MACHINE; TISSUE SECTION; TUMOR VOLUME; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOPSY; BREAST NEOPLASMS; CANCER GRADING; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; FEMALE; PATHOLOGY; PROCEDURES; STATISTICS AND NUMERICAL DATA; BREAST TUMOR; METHODOLOGY; STATISTICS;

ALGORITHMS; BIOPSY; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEOPLASM GRADING; PATTERN RECOGNITION, AUTOMATED; SUPPORT VECTOR MACHINES;

EID: 84884246801     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/829461     Document Type: Article

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