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Proceedings Paper

Visual search in medical images: a new methodology to quantify saliency
Author(s): Jannick P. Rolland; Keith E. Muller; Christopher S. Helvig
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Paper Abstract

The quantification of object saliency in 2D grayscale images is of primary importance in medical imaging. Saliency, in this paper, refers to the detectability of objects of unknown location, an object being a feature of interest in an image. Object saliency is commonly measured by the speed of an observer at performing a detection task. The more salient an object is, the more quickly it can be detected. The questions raised in this paper are (1) whether the degree of saliency of an object can be solely predicted from its detectability as measured in a location know-exactly task, or whether factors such as geometry and context contribute to saliency in a more complex fashion and (2) whether the contribution of geometry and background complexity to saliency can be quantified. This paper focuses on the problem of detection of stenoses in simulated angiograms. Results from a first such study are presented. From those results a new general methodology to measure saliency in 2D grayscale images was inferred and is presented.

Paper Details

Date Published: 17 April 1995
PDF: 9 pages
Proc. SPIE 2436, Medical Imaging 1995: Image Perception, (17 April 1995);
Show Author Affiliations
Jannick P. Rolland, Univ. of North Carolina/Chapel Hill (United States)
Keith E. Muller, Univ. of North Carolina/Chapel Hill (United States)
Christopher S. Helvig, Univ. of North Carolina/Chapel Hill (United States)

Published in SPIE Proceedings Vol. 2436:
Medical Imaging 1995: Image Perception
Harold L. Kundel, Editor(s)

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