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JAMA
Article . 1967 . Peer-reviewed
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JAMA
Article . 1967
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Processing Pictures With Computers

An Introduction
Authors: Mary R. Evans; Richard D. Yoder; James W. Sweeney;

Processing Pictures With Computers

Abstract

Most persons, perhaps, think of computers as devices which write pay checks or calculate satellite orbits. Although the processing of pictorial information promises dramatic and significant contributions to the health sciences and many other fields, it is only in connection with recent deep space probes that most persons have heard the words "computer" and "picture" used together. This discussion will concern the use of computers to detect characteristics and measure specific parameters in pictures. These measurements may then be analyzed, to produce "answers" in the form of conventional probabilistic statistics, such as the likelihood of occurence by chance. Far more complex taxonomic methods 1 are being developed and may be expected to be of importance in the future. However, these usually require extensive use of prediagnosed material in order to "teach" the program the characteristics of desired concepts such as "normal" or "abnormal." Although in the future we envision widespread

Keywords

Computers, Humans, Radiography, Thoracic, Radionuclide Imaging

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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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