Paper Info
Title
System for Computer-Aided Multiresolution Microscopic Pathology Diagnostics
Abstract
The aim of the presented system is simplification of the daily pathological routine of prostatic cancer diagnostics. The system combines telepathology with computer-aided diagnostics algorithms. To the best of our knowledge, this is the first approach proposing such a comprehensive method. Our system is designed to accumulate knowledge in learning process during diagnostics. Our system targets image acquisition and interpretation stages. The image acquisition subsystem solves various problems related to microscopical slide digitization like biomedical image registration, data representation, and processing. The interpretation subsystem bases on Gabor filter texture features as well as on color features. A support vector machine classifier together with feature selection is used for computer-aided diagnostics. The experimental validation of the system bases on a database of more than three thousand samples.During the experimental evaluation, the system exhibited successful interaction with a pathologist.
Year
DOI
Venue
2006
10.1109/ICVS.2006.58
ICVS
Keywords
Field
DocType
real-time component,complex computer vision system,system integration,assistant technology,ideal test bed,computer-aided multiresolution microscopic pathology,application field,case study,general idea,pathology,support vector machines,data representation,microscopy,cancer,feature selection,biomedical imaging,support vector machine
Digitization,Feature selection,Computer-aided,Computer science,Gabor filter,Artificial intelligence,Pathology,Computer vision,External Data Representation,Telepathology,Pattern recognition,Support vector machine,Image registration
Conference
ISBN
Citations 
PageRank 
0-7695-2506-7
0
0.34
References 
Authors
9
4
Name
Order
Citations
PageRank
Grigory Begelman1293.22
Michael Pechuk2202.11
Ehud Rivlin377854.39
Edmond Sabo471.94