Automatic boundary detection in breast ultrasound images based on improved pulse coupled neural network and active contour model

5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011

Volumn , Issue , 2011, Pages

  Jiao, Jing ^a   Wang, Yuanyuan ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Active contour model; Breast tumor ultrasound image; Pulse coupled neural network; Segmentation

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; BOUNDARY DETECTION; BREAST TUMOR; BREAST ULTRASOUND; ERROR METRICS; INITIAL CONDITIONS; LOW CONTRAST; PULSE COUPLED NEURAL NETWORK; PULSE COUPLED NEURAL NETWORK MODELS; REGION OF INTEREST; SEGMENTATION METHODS; SEGMENTATION PERFORMANCE; SIGNAL/NOISE RATIO; SPECKLE NOISE; TWO STAGE;

ALGORITHMS; BIOINFORMATICS; BIOMEDICAL ENGINEERING; BUSES; IMAGE SEGMENTATION; TUMORS; ULTRASONIC APPLICATIONS; ULTRASONICS;

NEURAL NETWORKS;

EID: 79960133488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icbbe.2011.5780194     Document Type: Conference Paper

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