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ICANN
2010
Springer

Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques

9 years 15 days ago
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques
Abstract. This paper presents an experimental "morphological analysis" retrieval system for mammograms, using Relevance-Feedback techniques. The features adopted are first-order statistics of the Normalized Radial Distance, extracted from the annotated mass boundary. The system is evaluated on an extensive dataset of 2274 masses of the DDSM database, which involves 7 distinct classes. The experiments verify that the involvement of the radiologist as part of the retrieval process improves the results, even for such a hard classification task, reaching the precision rate of almost 90%. Therefore, Relevance-Feedback can be employed as a very useful complementary tool to a Computer Aided Diagnosis system.
Stylianos D. Tzikopoulos, Harris V. Georgiou, Mich
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where ICANN
Authors Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis
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