Avtor/Urednik		Potočnik, Božidar; Cigale, Boris; Zazula, Damjan
Naslov		The XUltra project - automated analysis of ovarian ultrasound images
Tip		članek
Vir		In: Kokol P, Stiglic B, Zorman M, et al, editors. Proceedings of the 15th IEEE symposium on computer-based medical systems (CBMS 2002); 2002 Jun 4-7; Maribor. Los Alamitos: Institute of electrical and electronics engineers,
Leto izdaje		2002
Obseg		str. 262-7
Jezik		eng
Abstrakt		The paper deals with the problem of processing and interpretation of clinically recorded.udtrasound images for the reason of following the growth of dominant ovarian follicles in a day-to-day,manner. A part of the XUltra project achievements is presented. We propose three diferent automatic computer-based follicle identification algorithms. The first one based on cellular neural networks. The second one is based on region growing, segmenta tion method, while the third one processes entire image sequence with a predictor-corrector recognition scheme. The recognition rate of follicles with these algorithms goes up to 78 %, while the misidentification rate is around 15 %.
Deskriptorji		OVARY IMAGE PROCESSING, COMPUTER-ASSISTED