Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320627 | Artificial Intelligence in Medicine | 2005 | 11 Pages |
Abstract
It was found that contour and wash-out type (WOT) features determined by the radiologists lead to the best SVM classification results. Although a fast signal uptake in early time-point measurements is an important feature for malignant/benign classification of tumours, our results indicate that the wash-out characteristics might be considered as important.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Tim W. Nattkemper, Bert Arnrich, Oliver Lichte, Wiebke Timm, Andreas Degenhard, Linda Pointon, Carmel Hayes, Martin O. Leach, The UK MARIBS Breast Screening Study The UK MARIBS Breast Screening Study,