Experimental Verification of the Effectiveness of Mammography Testing Description’s Standardization - Artificial Intelligence Applications and Innovations - Part II
Conference Papers Year : 2011

Experimental Verification of the Effectiveness of Mammography Testing Description’s Standardization

Abstract

The article presents assumptions, and results of a test of experimental verification of a hypothesis stating that the use of the MammoEdit - a tool that uses its own ontology and the embedded knowledge of mammography – increase the diagnostic accuracy as well as the reproducibility of mammographic interpretation. The graphical user interface of the editor was similarly assessed, as well as the rules for visualization which assists the radiologist in the interpretation of the lesions’ character.
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hal-01571450 , version 1 (02-08-2017)

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Teresa Podsiadły-Marczykowska, Rafał Zawiślak. Experimental Verification of the Effectiveness of Mammography Testing Description’s Standardization. 12th Engineering Applications of Neural Networks (EANN 2011) and 7th Artificial Intelligence Applications and Innovations (AIAI), Sep 2011, Corfu, Greece. pp.291-296, ⟨10.1007/978-3-642-23960-1_35⟩. ⟨hal-01571450⟩
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