Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2012, Pages 2021-2024

  Xian, Min ^a   Huang, Jianhua ^a   Zhang, Yingtao ^a   Tang, Xianglong ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

BUS; MAP MRF; Multiple domain knowledge; Tumor segmentation

Indexed keywords

BOUNDARY ERRORS; BREAST ULTRASOUND; BREAST ULTRASOUND IMAGES; ERROR METRICS; FREQUENCY CONSTRAINT; FREQUENCY DOMAINS; KNOWLEDGE BASED; LOW QUALITIES; MAP-MRF; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORI PROBABILITIES; MEDICAL IMAGES; MODEL-BASED METHOD; MRF MODELS; MULTIPLE-DOMAIN KNOWLEDGE; OBJECT POSE; PHASE FEATURES; PRIORI KNOWLEDGE; ROBUST SEGMENTATION; SPATIAL CONSTRAINTS; STATE OF THE ART; TUMOR SEGMENTATION; VIA MODELING; WAVELET COEFFICIENTS; ZERO-CROSSING FEATURE;

BUSES; KNOWLEDGE BASED SYSTEMS; MARKOV PROCESSES; MEDICAL IMAGING; PROBABILITY DISTRIBUTIONS; TUMORS; ULTRASONICS;

IMAGE SEGMENTATION;

EID: 84875819649     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2012.6467286     Document Type: Conference Paper

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