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

Allbwn ymchwil: Cyfraniad at gynhadleddPapur

194 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

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.
Iaith wreiddiolSaesneg
Tudalennau176-180
Nifer y tudalennau5
StatwsCyhoeddwyd - 17 Gorff 2007
DigwyddiadMedical Image Understanding and
Analysis 2007: University of Wales Aberystwyth, 17-18 th July
- University of Wales, Aberystwyth, Aberystwyth, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Hyd: 17 Gorff 200718 Gorff 2007

Cynhadledd

CynhadleddMedical Image Understanding and
Analysis 2007
Teitl crynoMIUA 2007
Gwlad/TiriogaethTeyrnas Unedig Prydain Fawr a Gogledd Iwerddon
DinasAberystwyth
Cyfnod17 Gorff 200718 Gorff 2007

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