paper in neuroprose / change of e-mail address announcement

[crr@cogsci.psych.utah.edu]

The following paper has been placed in the Neuroprose
archives at Ohio State (filename: rosenberg.scintigrams.ps.Z).  Ftp
instructions follow the abstract.  

	A Neural Network that Learns to Interpret 
	Myocardial Planar Thallium Scintigrams

(This paper is to appear in Neural Computation.)

Charles Rosenberg, PhD
Department of Computer Science
Hebrew University 
Jerusalem, Israel
[For current address, see below]

Jacob Erel, MD
Department of Cardiology
Sapir Medical Center - Meir General Hospital
Kfar Saba, Israel

Henri Atlan, MD, PhD
Department of Biophysics and Nuclear Medicine
Hadassah Medical Center
Jerusalem, Israel


			ABSTRACT

The planar thallium-201 ($^{201}$Tl) myocardial perfusion scintigram is a 
widely used diagnostic technique for detecting and estimating the risk of 
coronary artery disease.   Interpretation is currently based 
on visual scoring of myocardial defects combined with image 
quantitation and is known to have a significant subjective component.

Neural networks learned to interpret thallium scintigrams as determined by 
both individual and multiple (consensus) expert ratings.
Four different types of networks were explored: single-layer, two-layer 
back-propagation (BP), BP with weight 
smoothing, and two-layer radial basis function (RBF).  
The RBF network was found to yield the 
best performance (94.8\% generalization by region) and compares 
favorably with human experts.

We conclude that this network is a valuable clinical tool that can be used as 
a reference ``diagnostic support system'' to help reduce inter- and intra-
observer variability.  This system is now being further developed to include 
other variables that are expected to improve the final clinical diagnosis.

      -----------------------------------------------------
                        FTP INSTRUCTIONS

the usual way:

     unix> ftp archive.cis.ohio-state.edu (or 128.146.8.52)
     Name: anonymous
     Password: <your e-mail address>
     ftp> cd pub/neuroprose
     ftp> binary
     ftp> get rosenberg.scintigrams.ps.Z
     ftp> quit
     unix> uncompress rosenberg.scintigrams.ps.Z
     unix> lpr rosenberg.scintigrams.ps 


Current address:

     Dr. Charles Rosenberg
     GRECC 182
     VA Medical Center
     500 Foothill Dr.
     Salt Lake City, UT 84148

     (801) 582-1565 ext. 2458
     FAX: (801) 583-7338
     crr at cogsci.psych.utah.edu