A Database System Of Microscopic Cell Images

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Abstract
This paper describes a prototype of an image database system which manages both pathological microscopic cell images and symbolic data as secondary information of the images. The database physically consists of three kinds of files; (i) image files, (ii) text files in which medical doctor's diagnostic comments on each image are stored, and (iii) relational tables which contain information about both images and diagnoses. It is designed both for quick-looking by medical doctors and cytoscreeners and for evaluating image analysis algorithms in automated cytology. Major tasks supported by the system are as follows: (a) image and symbolic data retrieval, (b) image editing, and (c) image analysis. Additional tasks such as digital imaging and storage media conversion are also supported. Most of those tasks are executed by means of a command-oriented query language, with which a user can interactively get access to the database.

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