Avtor/Urednik		Palfy, Miroslav; Jesenšek Papež, Breda
Naslov		Diagnosis of carpal tunnel syndrome from thermal images using artificial neural networks
Tip		članek
Vir		In: Kokol P, Podgorelec V, Mičetić-Turk D, et al, editors. Proceedings28th IEEE international symposium on computer-based medical systems; 2007 Jun 20-22; Maribor. Los Alamitos [etc.]: IEEE Computer Society,
Leto izdaje		2007
Obseg		str. 59-64
Jezik		eng
Abstrakt		Thermography is an excellent method of examination, useful in the field of medicine for its safety; lack of pain and invasiveness, easy reproducibility and low running costs. As such it represents a possible alternative to more common methods for diagnosis of carpal tunnel syndrome (e.g. electromyography). However, manual analysis of thermal images can be a tedious job, requiring some patience and accuracy. Here we present a software-based intelligent system for diagnosis of carpal tunnel syndrome. Artificial neural networks, known as a well established data mining technique, were used for thermal image analysis. Reliability was tested on 44 images (23 depicting pathological hands and 21 healthly). Results acquired are presented.
Deskriptorji		CARPAL TUNNEL SYNDROME THERMOGRAPHY NEURAL NETWORKS (COMPUTER)