An annotation approach for masto-calcifications based on semantic model
Zhao, K.; Song, L.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 29(1): 160-163
2012
ISSN/ISBN: 1001-5515 PMID: 22404030 Document Number: 659062
To realize the medical semantic annotation of mammogram, a semantic modeling approach for micro-calcifications in mammogram based on hierarchical Bayesian network (BN) was proposed. Firstly, support vector machines (SVM) were used to map low-level image feature into feature semantics, then high-level semantic was captured through fusing the feature semantics using BN. Finally semantic model was established. To validate the method, the model was applied to annotate the semantic information of mammograms. In this experiment, 142 images were chosen as training set and 50 images as testing set. The results showed that the accuracy of malignant samples was 81.48%, and that of benign samples was 73.91%.