Design and analysis of a content-based pathology image retrieval system.

A prototype, content-based image retrieval system has been built employing a client/server architecture to access supercomputing power from the physician's desktop. The system retrieves images and their associated annotations from a networked microscopic pathology image database based on conten...

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Pubblicato in:	IEEE Transactions on information technology in biomedicine 7, 4 (2003).
Autore principale:	Lei Zheng
Natura:	Articolo
Lingua:	English
Soggetti:	Fourier coefficients. Client/server architecture. Cluster analysis. Color histogram. Computer algorithm. Content similarity. Content-based pathology image retrieval system. Feature set. Image document distance value. Image feature types. Image texture. Medical domain knowledge. Microscopic pathology image database. Multi-dimensional scaling analysis. Pathological significance. Percomputing power. Query images. Retrieval accuracy. Visual similarity. Wavelet coefficients.