3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8316, Issue , 2012, Pages

  Yang, Xiaofeng ^a   Fei, Baowei ^a,b  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b EMORY UNIVERSITY   (United States)

Author keywords

image registration; image segmentation; machine learning; prostate cancer; support vector machine (SVM); Transrectal ultrasound (TRUS)

Indexed keywords

AUTOMATIC SEGMENTATIONS; GABOR FEATURE; MANUAL SEGMENTATION; PROSTATE CANCERS; PROSTATE IMAGES; PROSTATE SEGMENTATION; REGISTERED IMAGES; SEGMENTATION METHODS; SUPPORT VECTOR MACHINE (SVM); TEXTURE FEATURES; THREE-DIMENSIONAL (3D) SEGMENTATION; TRANSRECTAL ULTRASOUND; TRANSRECTAL ULTRASOUND IMAGES; TRUS IMAGES; ULTRASOUND IMAGES;

FILTER BANKS; IMAGE REGISTRATION; IMAGE SEGMENTATION; IMAGE TEXTURE; LEARNING SYSTEMS; MEDICAL IMAGING; ROBOTICS; SUPPORT VECTOR MACHINES; UROLOGY;

THREE DIMENSIONAL;

EID: 84860236456     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.912188     Document Type: Conference Paper

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