@article{(Open Science Index):https://publications.waset.org/pdf/2819,
	  title     = {A Study of Gaps in CBMIR Using Different Methods and Prospective},
	  author    = {Pradeep Singh and  Sukhwinder Singh and  Gurjinder Kaur},
	  country	= {},
	  institution	= {},
	  abstract     = {In recent years, rapid advances in software and hardware in the field of information technology along with a digital imaging revolution in the medical domain facilitate the generation and storage of large collections of images by hospitals and clinics. To search these large image collections effectively and efficiently poses significant technical challenges, and it raises the necessity of constructing intelligent retrieval systems. Content-based Image Retrieval (CBIR) consists of retrieving the most visually similar images to a given query image from a database of images[5]. Medical CBIR (content-based image retrieval) applications pose unique challenges but at the same time offer many new opportunities. On one hand, while one can easily understand news or sports videos, a medical image is often completely incomprehensible to untrained eyes.
},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {2},
	  number    = {10},
	  year      = {2008},
	  pages     = {1134 - 1138},
	  ee        = {https://publications.waset.org/pdf/2819},
	  url   	= {https://publications.waset.org/vol/22},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 22, 2008},
	}