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

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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Detalhes bibliográficos
Publicado no:IEEE Transactions on information technology in biomedicine 7, 4 (2003).
Autor principal: Lei Zheng
Formato: Artigo
Idioma:English
Assuntos:
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.