A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback.

A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback.

A content-based image retrieval (CBIR) framework for diverse collection of medical images of different imaging modalities, anatomic regions with different orientations and biological systems is proposed. Organization of images in such a database (DB) is well defined with predefined semantic categori...

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Pubblicato in:IEEE Transactions on information technology in biomedicine 11, 1 (2007).
Autore principale: Rahman, Md.M
Natura: Articolo
Lingua:English
Soggetti:
PCA-based eigenspace.
Content-based image retrieval.
Fuzzy c-mean clustering algorithm.
Global image feature.
Image database.
Image prefiltering technique.
Machine learning method.
Medical image retrieval.
Probabilistic multiclass support vector machine.
Relevance feedback scheme.
Statistical similarity matching technique.
Unsupervised learning technique.