Hierarchical lung field segmentation with joint shape and appearance sparse learning

IEEE Transactions on Medical Imaging

Volumn 33, Issue 9, 2014, Pages 1761-1780

  Shao, Yeqin ^a,c,d   Gao, Yaozong ^a   Guo, Yanrong ^a   Shi, Yonghong ^e   Yang, Xin ^c   Shen, Dinggang ^a,b  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b Korea University   (South Korea)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

^d NANTONG UNIVERSITY   (China)

^e FUDAN UNIVERSITY   (China)

Author keywords

Active shape model; chest radiograph; deformable segmentation; local appearance model; local sparse shape composition; sparse learning

Indexed keywords

FACE RECOGNITION; IMAGE SEGMENTATION;

ACTIVE SHAPE MODELS; APPEARANCE MODELING; CHEST RADIOGRAPHS; DEFORMABLE SEGMENTATION; SPARSE LEARNING;

BIOLOGICAL ORGANS;

ALGORITHM; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; LUNG; PROCEDURES; RADIOGRAPHY; THORAX RADIOGRAPHY;

ALGORITHMS; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; RADIOGRAPHY, THORACIC;

EID: 84906886315     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2305691     Document Type: Article

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