Publication Type : Journal Article
Publisher : International Journal of Applied Engineering Research, Research India Publications
Source : International Journal of Applied Engineering Research, Research India Publications, Volume 10, Number 8, p.20559-20570 (2015)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84929936878&partnerID=40&md5=8f47a8788cd64c0ab355b29a1d8b011b
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2015
Abstract : Medical image fusion combines several medical images from different modalities to a single image. It gives more quality image and clinical information dropping redundancy. The fusion methods have proved better information accuracy and thereby increase clinical applicability like diagnosis, segmentation, surgery planning etc. MRI has gained wide acceptance due to its ability to provide tissue details. This survey article provides list of methods for the image fusion and MRI brain segmentation. The image fusion review is mainly based on three levels 1) pixel level, feature level and decision level. 2) Widely used techniques for image fusion. 3) Techniques for MRI brain segmentation. This paper concludes that these methods will help physician in medical diagnosis and analysis within short span of time. © Research India Publications.
Cite this Research Publication : Anisha Radhakrishnan and Divya, M., “Survey of data fusion and tumor segmentation techniques using brain images”, International Journal of Applied Engineering Research, vol. 10, pp. 20559-20570, 2015.