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Automated interpretation of ventilation-perfusion lung scintigrams for the diagnosis of pulmonary embolism using support vector machines

Ericsson, Anders LU ; Huart, A; Ekefjard, A; Åström, Karl LU ; Holst, H; Evander, Eva LU ; Wollmer, Per LU and Edenbrandt, Lars LU (2003) 13th Scandinavian Conference, SCIA 2003 In 13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings/Lecture Notes in Computer Science 2749. p.415-421
Abstract
The purpose of this study was to develop a new completely automated method for the interpretation of ventilation-perfusion (V-P) lung scintigrams for the diagnosis of pulmonary embolism. A new way of extracting features, characteristic for pulmonary embolism is presented. These features are then used as input to a Support Vector Machine, which discriminates between pulmonary embolism or no embolism. Using a material of 509 training cases and 104 test cases, the performance of the system, measured as the area under the ROC curve, was 0.86 in the test group. It is concluded that a completely automatic method can be used for interpretation of V-P scintigrams. It is faster and more robust than a previously presented method [4,5] and the... (More)
The purpose of this study was to develop a new completely automated method for the interpretation of ventilation-perfusion (V-P) lung scintigrams for the diagnosis of pulmonary embolism. A new way of extracting features, characteristic for pulmonary embolism is presented. These features are then used as input to a Support Vector Machine, which discriminates between pulmonary embolism or no embolism. Using a material of 509 training cases and 104 test cases, the performance of the system, measured as the area under the ROC curve, was 0.86 in the test group. It is concluded that a completely automatic method can be used for interpretation of V-P scintigrams. It is faster and more robust than a previously presented method [4,5] and the accuracy is at the same level as the the previous method. It also handles abnormalities in the lungs. (Less)
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author
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type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings/Lecture Notes in Computer Science
volume
2749
pages
415 - 421
publisher
Springer
conference name
13th Scandinavian Conference, SCIA 2003
external identifiers
  • wos:000185178400056
  • scopus:35248886256
ISSN
0302-9743
1611-3349
ISBN
978-3-540-40601-3
language
English
LU publication?
yes
id
9333191f-ac5c-4a68-abf5-653803024e10 (old id 301711)
alternative location
http://www.springerlink.com/content/bdb49391aq9q0xrn
date added to LUP
2007-08-07 13:59:41
date last changed
2018-05-29 09:36:28
@inproceedings{9333191f-ac5c-4a68-abf5-653803024e10,
  abstract     = {The purpose of this study was to develop a new completely automated method for the interpretation of ventilation-perfusion (V-P) lung scintigrams for the diagnosis of pulmonary embolism. A new way of extracting features, characteristic for pulmonary embolism is presented. These features are then used as input to a Support Vector Machine, which discriminates between pulmonary embolism or no embolism. Using a material of 509 training cases and 104 test cases, the performance of the system, measured as the area under the ROC curve, was 0.86 in the test group. It is concluded that a completely automatic method can be used for interpretation of V-P scintigrams. It is faster and more robust than a previously presented method [4,5] and the accuracy is at the same level as the the previous method. It also handles abnormalities in the lungs.},
  author       = {Ericsson, Anders and Huart, A and Ekefjard, A and Åström, Karl and Holst, H and Evander, Eva and Wollmer, Per and Edenbrandt, Lars},
  booktitle    = {13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings/Lecture Notes in Computer Science},
  isbn         = {978-3-540-40601-3},
  issn         = {0302-9743},
  language     = {eng},
  pages        = {415--421},
  publisher    = {Springer},
  title        = {Automated interpretation of ventilation-perfusion lung scintigrams for the diagnosis of pulmonary embolism using support vector machines},
  volume       = {2749},
  year         = {2003},
}