Applying latent semantic analysis to large-scale medical image databases
The proposed LSA approach overcomes the complexity barriers of SVD. Early data fusion with LSA outperforms late fusion methods. LSA combines effectively visual and textual information with an integrated approach. The proposed bypass solution to SVD makes it attractive for large scale medical image databases.
lsa svd data fusion cbir feature selection text retrieval image retrieval classification