ROC Theory: Limitations and Applications

One major problem of medical image system evaluation was in analyzing judgments based on an unknown or unspecified value scale. A second major problem was in learning to understand legitimate differences in inter-and intra-observer responses. To begin to understand the background of these two proble...

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Bibliographic Details
Published in:IEEE transactions on nuclear science 1982-01, Vol.29 (4), p.1359-1367
Main Author: Goodenough, David J.
Format: Article
Language:English
Subjects:
Background noise
biomedical engineering
Biomedical imaging
Diseases
error
Humans
Image analysis
image processing
nuclear medicine
Performance analysis
Physics
probability
Probability distribution
Radar detection
radiation
Sensitivity
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Summary:One major problem of medical image system evaluation was in analyzing judgments based on an unknown or unspecified value scale. A second major problem was in learning to understand legitimate differences in inter-and intra-observer responses. To begin to understand the background of these two problems, it is important to take note of the fact that any decision regarding the existence of a signal in the presence of noise can be asssociated with two kinds or errors: (1) false-positive, i.e., an incorrect decision that a signal (or abnormality) is present; and (2) false-negative, i.e., an incorrect decision that a signal is absent.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.1982.4332193