A Microscopic Telepathology System for Multiresolution Computer-Aided Diagnostics

The aim of the presented system is simplification and speedup of the daily pathological examination routine. 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 through a learning process during diagnostics. Our system targets image acquisition and interpretation stages. The image acquisition subsystem solves various problems related to microscopical slide digitization such as biomedical image registration, data representation, and processing. The interpretation subsystem is based on Gabor filter texture features as well as on color features. A support vector machine classifier together with a feature selection is used for computer-aided diagnostics. The system design allows easy adaptation to a wide range of microscopical pathology examinations. The system is easily deployed and scaled. It has a low support cost and ca...

• Type: Journal
• Year: 2006
• Where: JMM2
• Authors: Grigory Begelman, Michael Pechuk, Ehud Rivlin, Edmond Sabo
• Keywords: Computer-aided Diagnostics, Computer-aided Diagnostics Algorithms, Image Acquisition, JMM2 2006