title: Applying latent semantic analysis to large-scale medical image databases.
abstract: Latent Semantic Analysis (LSA) although has been used successfully in text retrieval when applied to CBIR induces scalability issues with large image collections. The method so far has been used with small collections due to the high cost of storage and computational time for solving the SVD problem for a large and dense feature matrix. Here we present an effective and efficient approach of applying LSA skipping the SVD solution of the feature matrix and overcoming in this way the deficiencies of the method with large scale datasets. Early and late fusion techniques are tested and their performance is calculated. The study demonstrates that early fusion of several composite descriptors with visual words increase retrieval effectiveness. It also combines well in a late fusion for mixed (textual and visual) ad hoc and modality classification. The results reported are comparable to state of the art algorithms without including additional knowledge from the medical domain.
authors.affiliation: Information Processing Laboratory, Department of Informatics, Athens University of Economics and Business, 76 Patission Str., 104.34 Athens, Greece. Electronic address: spstathop@aueb.gr.
authors.forename: Spyridon
authors.initials: S
authors.lastname: Stathopoulos
authors.affiliation: Information Processing Laboratory, Department of Informatics, Athens University of Economics and Business, 76 Patission Str., 104.34 Athens, Greece. Electronic address: tzk@aueb.gr.
authors.forename: Theodore
authors.initials: T
authors.lastname: Kalamboukis
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003628:Database Management Systems; D016208:Databases, Factual; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D011873:Radiology Information Systems / Q000458:organization & administration*; D015203:Reproducibility of Results; D012660:Semantics; D012680:Sensitivity and Specificity; D009626:Terminology as Topic; D018875:Vocabulary, Controlled
keywords: CBIR; Classification; Data fusion; Feature selection; Image retrieval; LSA; SVD; Text retrieval