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.
|Titel på värdpublikation||13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings/Lecture Notes in Computer Science|
|Status||Published - 2003|
|Evenemang||13th Scandinavian Conference, SCIA 2003 - Halmstad, Sverige|
Varaktighet: 2003 juni 29 → 2003 juli 2
|Konferens||13th Scandinavian Conference, SCIA 2003|
|Period||2003/06/29 → 2003/07/02|
- Lungmedicin och allergi