A context-aware approach to content-based image retrieval of lung nodules

Jacob V. Gardner; Daniela Raicu; Jacob Furst

doi:10.1117/12.878400

9 March 2011 A context-aware approach to content-based image retrieval of lung nodules

Jacob V. Gardner, Daniela Raicu, Jacob Furst

Proceedings Volume 7963, Medical Imaging 2011: Computer-Aided Diagnosis; 79632I (2011) https://doi.org/10.1117/12.878400
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

We are investigating various techniques to improve the quality of Content-Based Image Retrieval(CBIR) for computed-tomography(CT) scans of lung nodules. Previous works have used linear regression models¹ and artificial neural networks(ANN)⁶ to predict the similarity between two nodules. This paper expands upon this work incorporating contextual information around lung nodules to determine if the existing model using an ANN will produce a better correlation between content-based and semantic-based human perceived similarity.

Citation Download Citation

Jacob V. Gardner, Daniela Raicu, and Jacob Furst "A context-aware approach to content-based image retrieval of lung nodules", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79632I (9 March 2011); https://doi.org/10.1117/12.878400

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