Automatic kidney segmentation in CT images based on multi-atlas image registration

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Volumn , Issue , 2014, Pages 5538-5541

  Yang, Guanyu ^a   Gu, Jinjin ^a   Chen, Yang ^a   Liu, Wangyan ^b   Tang, Lijun ^b   Shu, Huazhong ^a   Toumoulin, Christine ^a,c  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b THE FIRST AFFILIATED HOSPITAL OF NANJING MEDICAL UNIVERSITY   (China)

^c UNIVERSITÉ DE RENNES 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; IMAGE REGISTRATION;

AUTOMATIC METHOD; HIGH RESOLUTION; KIDNEY SEGMENTATION; ORIGINAL IMAGES; REFERENCE STANDARD; SEGMENTATION RESULTS; SIMILARITY COEFFICIENTS; SURFACE-TO-SURFACE DISTANCES;

IMAGE SEGMENTATION;

ANGIOGRAPHY; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; KIDNEY; KIDNEY TUMOR; PROCEDURES; RADIOGRAPHY; THREE DIMENSIONAL IMAGING; UROGRAPHY;

ANGIOGRAPHY; AUTOMATION; HUMANS; IMAGING, THREE-DIMENSIONAL; KIDNEY; KIDNEY NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED; UROGRAPHY;

EID: 84929463692     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944881     Document Type: Conference Paper

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