PMID: 8591231Jan 1, 1995Paper

Use of document image processing in cancer registration: how and why?

Medinfo
G Titlestad

Abstract

The aims of the study are to test and evaluate a system for document image processing (DIP) in cancer registration and coding. The results from use of optical character recognition (OCR) and image character recognition (ICR) in the data entry process are of particular interest. Cases of cancer must be reported both by clinicians and pathologists. Annually the Registry receives 80,000 reports concerning new cases and supplementary information on patients who are registered earlier [1]. Clinicians report new cancer cases to the Cancer Registry on a special designed form. Optionally, they can use a software-based application delivered from the Registry free of charge. As a part of the DIP-system, an optical digital image processing text (ODIT) system is used in recognition of machine- and hand-printed characters. The traditional registration and coding system is run parallel to the new system. After a period of testing the DIP-system nationwide, the new system will be evaluated and compared to the traditional system. The first part of the study compared the results from three character readers (CGK, XDR, and Nestor), which have been tested on our own application-specific data in a realistic setting [2]. The test shows that over 90...Continue Reading

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