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| A Semantic Ontology Structure-based Approach for Retrieving Similar Medical Images |
| Yiwen Wang |
| The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou Zhejiang 310052, China |
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Abstract Radiology doctors perform text-based image retrieval when they want to retrieve medical images. However, the accuracy and efficiency of such retrieval cannot keep up with the requirements. An innovative algorithm is being proposed to retrieve similar medical images. First, we extract the professional terms from the ontology structure and use them to annotate the CT images. Second, the semantic similarity matrix of ontology terms is calculated according to the structure of the ontology. Lastly, the corresponding semantic distance is calculated according to the marked vector, which contains different annotations. We use 120 real liver CT images (divided into six categories) of a top three-hospital to run the algorithm of the program. Result shows that the retrieval index “Precision” is 80.81%, and the classification index “AUC(Area Under Curve)” under the “ROC curve” (Receiver Operating Characteristic)is 0.945.
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Corresponding Authors:
Yiwen Wang, The Second Affiliated Hospital of Zhejiang University School of medicine, Hangzhou Zhejiang 310052, China. E-mail address: karenkaren2010@zju.edu.com
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