Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT

Medical Physics

Volumn 31, Issue 9, 2004, Pages 2584-2593

  Bilello, Michel ^a,d   Gokturk, Salih Burak ^a,b   Desser, Terry ^c   Napel, Sandy ^c   Jeffrey, R Brooke ^c   Beaulieu, Christopher F ^c  

^a Stanford University   (United States)

^b Canesta Inc   (United States)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Computed tomography; Computer aided detection; Cyst; Hemangioma; Liver lesions; Metastasis; Statistical learning methods

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; PATHOLOGY; SIGNAL DETECTION;

COMPUTED TOMOGRAPHY; COMPUTER AIDED DETECTION; CYST; DETECTION ALGORITHM; FALSE POSITIVE; HAEMANGIOMA; HEPATIC LESIONS; LIVER LESIONS; METASTASIS; STATISTICAL LEARNING METHODS;

COMPUTERIZED TOMOGRAPHY;

CONTRAST MEDIUM;

ADULT; ALGORITHM; ARTICLE; AUTOMATION; CANCER CLASSIFICATION; CANCER DIAGNOSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC IMAGING; DISEASE CLASSIFICATION; HISTOGRAM; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; LIVER CYST; LIVER HEMANGIOMA; LIVER INJURY; LIVER METASTASIS; MAJOR CLINICAL STUDY; PORTAL VEIN; PRIORITY JOURNAL; STATISTICAL ANALYSIS; VALIDATION PROCESS;

EID: 4644308443     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1782674     Document Type: Article

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