Computer-Aided Prostate Cancer Diagnosis from Digitized Histopathology: A Review on Texture-Based Systems

IEEE Reviews in Biomedical Engineering

Volumn 8, Issue , 2015, Pages 98-113

  Mosquera Lopez, Clara ^a   Agaian, Sos ^a   Velez Hoyos, Alejandro ^b   Thompson, Ian ^c  

^a The University of Texas at San Antonio   (United States)

^b HOSPITAL PABLO TOBÓN URIBE   (Colombia)

^c UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

Author keywords

Computer aided diagnosis (CAD); gleason grading; histopathology image analysis; pattern recognition; prostate cancer; texture based CAD systems

Indexed keywords

BIOPSY; COMPUTER AIDED ANALYSIS; DISEASES; FEATURE EXTRACTION; GRADING; IMAGE ANALYSIS; IMAGE TEXTURE; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; TISSUE; UROLOGY;

CAD SYSTEM; COMPUTER AIDED DIAGNOSIS(CAD); GLEASON GRADING; INTEROBSERVER VARIABILITY; INTERPRETATION CRITERIA; PROSTATE CANCERS; QUANTITATIVE IMAGE ANALYSIS; TEXTURE ANALYSIS METHOD;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; CANCER DIAGNOSIS; CANCER GRADING; CANCER TISSUE; COLOR; COMPUTER ASSISTED DIAGNOSIS; DIGITIZED HISTOPATHOLOGY; FRACTAL ANALYSIS; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MALE; PROSTATE CANCER; STANDARDIZATION; AUTOMATED PATTERN RECOGNITION; CYTOCHEMISTRY; PATHOLOGY; PROCEDURES; PROSTATE; PROSTATIC NEOPLASMS;

HISTOCYTOCHEMISTRY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; NEOPLASM GRADING; PATTERN RECOGNITION, AUTOMATED; PROSTATE; PROSTATIC NEOPLASMS;

EID: 84940027097     PISSN: 19373333     EISSN: 19411189     Source Type: Journal    
DOI: 10.1109/RBME.2014.2340401     Document Type: Article

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