Optimization of breast lesion segmentation in texture feature space approach

Medical Engineering and Physics

Volumn 36, Issue 1, 2014, Pages 129-135

  Moraru, Luminita ^a   Moldovanu, Simona ^a   Biswas, Anjan ^b,c  

^a DUNAREA DE JOS UNIVERSITY OF GALATI   (Romania)

^b DELAWARE STATE UNIVERSITY   (United States)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Active contours models; Area error rate; Image feature; Ultrasound images

Indexed keywords

ACTIVE CONTOURS MODEL; BREAST LESION SEGMENTATIONS; CONTRAST TO NOISE RATIO; ERROR RATE; FRACTAL DIMENSION ANALYSIS; IMAGE FEATURES; SEGMENTATION RESULTS; ULTRASOUND IMAGES;

FRACTAL DIMENSION; MEDICAL IMAGING; TEXTURES; ULTRASONIC APPLICATIONS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATION; BREAST BIOPSY; BREAST CYST; BREAST LESION; CLINICAL ARTICLE; CONTRAST TO NOISE RATIO; CONTROLLED STUDY; ECHOMAMMOGRAPHY; ENTROPY; FEMALE; FRACTAL ANALYSIS; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE QUALITY; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; ANALYTIC METHOD; ANALYTICAL PARAMETERS; AREA ERROR RATE; BREAST CANCER; BREAST LESION SEGMENTATION; FRACTAL DIMENSION ANALYSIS; IMAGE PROCESSING; KURTOSIS; MATHEMATICAL PARAMETERS; QUALITATIVE ANALYSIS; SKEWNESS; STANDARD DEVIATION; STATISTICAL ANALYSIS; ULTRASOUND SCANNER;

ACTIVE CONTOURS MODELS; AREA ERROR RATE; IMAGE FEATURE; ULTRASOUND IMAGES;

ALGORITHMS; BREAST DISEASES; BREAST NEOPLASMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; ULTRASONOGRAPHY, MAMMARY;

EID: 84891836450     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2013.05.013     Document Type: Article

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