Pregled bibliografske jedinice broj: 599653
Overview of Open Source Software for Computer Aided Detection in Cardiology
Overview of Open Source Software for Computer Aided Detection in Cardiology // Kardio list / Ivanuša, Mario (ur.).
Zagreb: Hrvatsko kardiološko društvo, 2012. str. 120-120 (poster, domaća recenzija, sažetak, stručni)
CROSBI ID: 599653 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Overview of Open Source Software for Computer Aided Detection in Cardiology
Autori
Mešanović, Nihad ; Smajić, Elnur
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, stručni
Izvornik
Kardio list
/ Ivanuša, Mario - Zagreb : Hrvatsko kardiološko društvo, 2012, 120-120
Skup
E-Cardiology 2012
Mjesto i datum
Osijek, Hrvatska, 15.03.2012. - 17.03.2012
Vrsta sudjelovanja
Poster
Vrsta recenzije
Domaća recenzija
Ključne riječi
Computer aided detection; Segmentation in cardiology; Medical image analysis
Sažetak
Advances in imaging technology and computer science have greatly enhanced interpretation of medical images, and contributed to early diagnosis. The typical architecture of a Computer Aided Detection (CAD) system includes image pre-processing, definition of region(s) of interest, features extraction and selection, segmentation and classification. Due to the development of new imaging devices, which produce a large number of images, advanced techniques for the evaluation of large amounts of data are required. Therefore, computer-supported extraction of dynamic 3-D models of patient anatomy from temporal series is highly desirable. Since the diagnostician must be able to quickly make rational decisions based on the proposed models, a high degree of accuracy is required within a minimum amount of time. In this paper, the principles of CAD systems design and development are demonstrated by means of open source software overview for cardiac image segmentation. It is concluded that computerized analysis of cardiac images in combination with artificial intelligence can be used in clinical practice and may contribute to more efficient diagnosis.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Kliničke medicinske znanosti
POVEZANOST RADA