Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search

Ultrasound in Medicine and Biology

Volumn 40, Issue 11, 2014, Pages 2728-2742

  Ni, Dong ^a   Yang, Xin ^a   Chen, Xin ^a   Chin, Chien Ting ^a   Chen, Siping ^a   Heng, Pheng Ann ^b   Li, Shengli ^c   Qin, Jing ^a,d   Wang, Tianfu ^a  

^a Shenzhen University   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c Hospital of Nanfang Medical University   (China)

^d Shenzhen Institute of Advanced Integration Technologies   (China)

Author keywords

Component; Fetal abdomen; Machine learning; Object detection; Selective search; Standard plane; Ultrasound

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION TREES; DIAGNOSIS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; ULTRASONICS;

ANATOMICAL STRUCTURES; COMPONENT; COMPONENT CLASSIFIERS; COMPONENT DETECTION; FETAL ABDOMEN; GEOMETRIC CONSTRAINT; OBJECT DETECTION; SELECTIVE SEARCH;

ULTRASONIC APPLICATIONS;

ANALYTIC METHOD; ANATOMIC LANDMARK; ANATOMIC MODEL; ARTICLE; CLASSIFICATION ALGORITHM; CLASSIFIER; COMBINATION CLASSIFIER; ECHOGRAPHY; FETAL ABDOMINAL STANDARD PLANE; GEOMETRY; IMAGE ANALYSIS; IMAGE PROCESSING; RADIAL COMPONENT MODEL; RADIOLOGICAL PARAMETERS; RANDOM FOREST CLASSIFIER; SELECTIVE SEARCH METHOD; SENSITIVITY AND SPECIFICITY; SPINE; STANDARD PLANE LOCALIZATION; STOMACH; SUPPORT VECTOR MACHINE; UMBILICAL VEIN; VIDEORECORDING; ABDOMEN; ALGORITHM; AUTOMATED PATTERN RECOGNITION; EMBRYOLOGY; FEMALE; FETUS; FETUS ECHOGRAPHY; HUMAN; PREGNANCY; PROCEDURES; REPRODUCIBILITY;

ABDOMEN; ALGORITHMS; FEMALE; FETUS; HUMANS; PATTERN RECOGNITION, AUTOMATED; PREGNANCY; REPRODUCIBILITY OF RESULTS; SPINE; STOMACH; SUPPORT VECTOR MACHINES; ULTRASONOGRAPHY, PRENATAL; UMBILICAL VEINS;

EID: 84907972162     PISSN: 03015629     EISSN: 1879291X     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2014.06.006     Document Type: Article

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