Abstract
In this paper, we describe the analysis of the effects of mammographic semantic information in breast cancer diagnoses. A brief description of relations between semantic information and image features are given. We demonstrate the experiments based on mammographic semantic information and MIAS database. Each mammogram was annotated by expert radiologists with semantic information and a an NHSBSP fivepoint score. Two kinds of classifiers were applied to classify the mammogram according to NHSBSP five-point score by the semantic information and radiologists also classified them by their annotated semantic information. The analysis of the experiments results provided further understanding the effects of using the mammographic semantic information on breast cancer diagnosis. It also provided a common knowledge base can be both understand by computers and human experts.
Original language | English |
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Pages | 176-180 |
Number of pages | 5 |
Publication status | Published - 17 Jul 2007 |
Event | Medical Image Understanding and Analysis 2007: University of Wales Aberystwyth, 17-18 th July - University of Wales, Aberystwyth, Aberystwyth, United Kingdom of Great Britain and Northern Ireland Duration: 17 Jul 2007 → 18 Jul 2007 |
Conference
Conference | Medical Image Understanding and Analysis 2007 |
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Abbreviated title | MIUA 2007 |
Country/Territory | United Kingdom of Great Britain and Northern Ireland |
City | Aberystwyth |
Period | 17 Jul 2007 → 18 Jul 2007 |