Segmentation of the lung anatomy for high resolution computed tomography (HRCT) thorax images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8237 LNCS, Issue , 2013, Pages 165-175

  Mohd Noor, Norliza ^a   Mohd Rijal, Omar ^b   Ming, Joel Than Chia ^a   Roseli, Faizol Ahmad ^b   Ebrahimian, Hossien ^b   Kassim, Rosminah M ^c   Yunus, Ashari ^d  

^a UTM RAZAK SCHOOL OF ENGINEERING AND ADVANCED TECHNOLOGY   (Malaysia)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c HOSPITAL KUALA LUMPUR   (Malaysia)

^d Institute of Respiratory Medicine   (Malaysia)

Author keywords

high resolution computed tomography (HRCT); Interstitial lung disease; segmentation quality

Indexed keywords

AUTOMATIC SEGMENTATIONS; COMPUTER-AIDED SYSTEMS; HAUSDORFF DISTANCE; HIGH-RESOLUTION COMPUTED TOMOGRAPHY; INTERSTITIAL LUNG DISEASE; SEGMENTATION ALGORITHMS; SEGMENTATION QUALITY; SYMMETRIC SURFACES;

ALGORITHMS; BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; INFORMATION SCIENCE;

IMAGE SEGMENTATION;

EID: 84887087319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-02958-0_16     Document Type: Conference Paper

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