PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction

AUTOR(ES)

Mattie, Mark E.

FONTE

American Medical Informatics Association

RESUMO

Objective: Currently, when cytopathology images are archived, they are typically stored with a limited text-based description of their content. Such a description inherently fails to quantify the properties of an image and refers to an extremely small fraction of its information content. This paper describes a method for automatically indexing images of individual cells and their associated diagnoses by computationally derived cell descriptors. This methodology may serve to better index data contained in digital image databases, thereby enabling cytologists and pathologists to cross-reference cells of unknown etiology or nature.

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