A preliminary study on computerized lesion localization in MR mammography using 3D nMITR maps, multilayer cellular neural networks, and fuzzy c-partitioning

Medical Physics

Volumn 35, Issue 1, 2008, Pages 195-205

  Ertas, Gokhan ^a   Gulcur, H Ozcan ^a   Tunaci, Mehtap ^b   Osman, Onur ^c   Ucan, Osman Nuri ^d  

^a BOGAZICI UNIVERSITY   (Turkey)

^b ISTANBUL UNIVERSITY   (Turkey)

^c ISTANBUL COMMERCE UNIVERSITY   (Turkey)

^d ISTANBUL UNIVERSITY   (Turkey)

Author keywords

Breast; Cellular neural network; Eccentricity; Lesion localization; MR; Normalized maximum intensity time ratio; Segmentation

Indexed keywords

AUTOMATIC GUIDED VEHICLES; AUTOMATION; BINARY IMAGES; BLOOD VESSELS; FUZZY NEURAL NETWORKS; HISTOLOGY; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MAMMOGRAPHY; MEDICAL IMAGING; MULTILAYER NEURAL NETWORKS; STATISTICAL TESTS; TISSUE; VOLUME FRACTION;

BREAST; ECCENTRICITY; FALSE POSITIVE DETECTION; HARDWARE IMPLEMENTATIONS; LESION LOCALIZATION; MORPHOLOGICAL CHARACTERIZATION; REAL-TIME PROCESSING SPEED; TIME RATIO;

CELLULAR NEURAL NETWORKS;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL NEURAL NETWORK; AUTOMATION; BENIGN TUMOR; BREAST CANCER; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; FEMALE; FUZZY SYSTEM; HUMAN; MALIGNANT NEOPLASTIC DISEASE; MAMMOGRAPHY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; TUMOR LOCALIZATION;

EID: 37549052918     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2805477     Document Type: Article

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