Medical image retrieval is still mainly a research domain with a large variety of applications and techniques. With the ImageCLEF 2004 benchmark, an evaluation framework has been created that includes a database, query topics and ground truth data. Eleven systems (with a total of more than 50 runs) compared their performance in various configurations. The results show that there is not any one ...

This review paper consists of the work already done on medical images. The work includes the previous works being done in this field related to the medical images being retrieved by using the various shape descriptors. In this paper a brief overview of digital imaging is given. This paper presents the basics of image retrieval process that includes the two techniques for image retrieval and abo...

The increasing utilization of medical imaging technology with digital storage capabilities has facilitated the compilation large-scale data repositories. Fast access to image samples similar appearance suspected cases in these repositories can help establish a consulting system for healthcare professionals, and improve diagnostic procedures while minimizing processing delays. However, manual qu...

Healthcare data are distributed and confidential, making it difficult to use centralized automatic diagnostic techniques. For example, different hospitals hold the electronic health records (EHRs) of patient populations; however, transferring this between is due sensitive nature information. This presents a significant obstacle development efficient generalizable analytical methods that require...