Avtor/Urednik		Barhoumi, Walid; Zagrouba, Ezzeddine
Naslov		Semiautomatic detection of tumoral zones
Tip		članek
Vir		Image Anal Stereol
Vol. in št.		Letnik 20, št. Suppl 1
Leto izdaje		2001
Obseg		str. 578-83
Jezik		eng
Abstrakt		This paper describes a robust method based on the cooperation of fuzzy classification and regions segmentation algorithms, in order to detect the tumoral zones in the MRI brain images. On one hand, the classification in fuzzy sets is done by the FCM algorithm, where a study of its different parameters and its complexity has been previously done, which led us to improve it. On the other hand, the segmentation in regions is obtained by an hierarchical method through adaptive thresholding. Then, an operator expert selects a germ in the tumoral zones, and the class containing the sick zones is localised in return for the FCM algorithm. Finally, the superposition of the two partitions of the image will determine the sick zones. The originality of our approach is the parallel exploitation of different types of information in the image by the cooperation of two complementary approaches, which permits to carry out a robust approach for the detection of sick zones in MRI images.
Deskriptorji		BRAIN NEOPLASMS MAGNETIC RESONANCE IMAGING IMAGE PROCESSING, COMPUTER-ASSISTED