The Analysis of Effects on Breast Cancer Diagnosis Using the Mammographic Semantic Information

Da Qi, Erika R. E. Denton, Joanna M. E. Leason, Diaa Othman, Reyer Zwiggelaar

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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 languageEnglish
Pages176-180
Number of pages5
Publication statusPublished - 17 Jul 2007
EventMedical 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 200718 Jul 2007

Conference

ConferenceMedical Image Understanding and
Analysis 2007
Abbreviated titleMIUA 2007
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
CityAberystwyth
Period17 Jul 200718 Jul 2007

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