Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching

BMC Medical Informatics and Decision Making

Volumn 9, Issue SUPPL. 1, 2009, Pages

  Chen, Wenan ^a   Smith, Rebecca ^a   Ji, Soo Yeon ^a   Ward, Kevin R ^b   Najarian, Kayvan ^a  

^a Virginia Commonwealth University   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; AUTOMATION; BRAIN VENTRICLE; CHILD; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; RELIABILITY; SCHOOL CHILD; SENSITIVITY ANALYSIS; SKULL; TRAUMATIC BRAIN INJURY; BRAIN; BRAIN INJURY; BRAIN VENTRICULOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; METHODOLOGY; RADIOGRAPHY;

ALGORITHMS; BRAIN; BRAIN INJURIES; CEREBRAL VENTRICULOGRAPHY; HUMANS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 72449194738     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-9-S1-S4     Document Type: Article

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