Refereed full papers (journals, book chapters, international conferences)

1999

@inproceedings{SKB1999,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Chi-Ren Shyu and Avi Kak and Carla Brodley and Lynn S.
	Broderick},
	title =	{Testing for Human Perceptual Categories in a
	Physician-in-the-loop {CBIR} System for Medical Imagery},
	booktitle =	{IEEE Workshop on Content-based Access of Image and Video
	Libraries (CBAIVL'99)},
	address =	{Fort Collins, Colorado, USA},
	pages =	{102--108},
	month =	{June~22},
	year =	{1999},
	url =	{http://RVL.www.ecn.purdue.edu/RVL/CBIR/Publications/CBAIVL99.ps.gz},
	abstract =	{We have addressed the following question in this
	contribution: To what extent should the domain experts, in our case
	physicians, be believed with regard to what they claim to see in images
	that allows them to recognize different types of pathology?

	Until recently our approach was to have a physician delineate the
	pathology bearing regions in the images. We then used what could be
	referred to as a scattershot approach to the characterization of these
	regions, meaning that we'd extract a very large number of features from
	these regions. Subsequently, we'd reduce the dimensionality of this
	feature space by using standard search techniques, such as the
	Sequential Forward Selection method.

	This contribution represents an alternative to the scattershot approach
	to initial feature extraction. In this paper, we first describe the
	perceptual categories that the physicians claim to use for classifying
	images as belonging to different diseases.  We then describe the
	specific low-level features that need to be extracted to determine the
	presence or the absence of the various perceptual categories. We
	subsequently show the discriminatory power of the perceptual categories
	by presenting retrieval results obtained when a query image is matched
	with the database images on the basis of the presence or the absence of
	the various perceptual categories.},
}