Pregled bibliografske jedinice broj: 49485
CT image labeling using hopfield neural network
CT image labeling using hopfield neural network // Proceedings of the IEEE 9th Mediterranean Electrotechnical Conference / Baal-Schem, Jacob (ur.).
Tel Aviv: Institute of Electrical and Electronics Engineers (IEEE), 1998. str. 44-47 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 49485 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
CT image labeling using hopfield neural network
Autori
Kovačević, Domagoj ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IEEE 9th Mediterranean Electrotechnical Conference
/ Baal-Schem, Jacob - Tel Aviv : Institute of Electrical and Electronics Engineers (IEEE), 1998, 44-47
Skup
9th Mediterranean Electrotechnical Conference
Mjesto i datum
Tel Aviv, Izrael, 18.05.1998. - 20.05.1998
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
computed tomography; image segmentation; hopfield neural network
Sažetak
In this work, a method for the computed tomography (CT) image labeling
is presented. CT images used in this work are obtained from patients
having the spontaneous intra cerebral hemorrhage (ICH). The images are
segmented into three tissue classes (skull, brain, and ICH) and the
background. The method consists of two steps. In the the first step,
the image is divided into a number of regions using the K-means
clustering algorithm. Regions used are dark, medium dark and bright
region. In the second step, the regions are labeled using the modified
Hopfield neural network.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036024
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Sven Lončarić
(autor)
