Enhancements in medicine by integrating content based image retrieval in computer-aided diagnosis

Preeti Aggarwal; H. K Sardana

doi:10.1117/12.853685

26 February 2010 Enhancements in medicine by integrating content based image retrieval in computer-aided diagnosis

Preeti Aggarwal, H. K Sardana

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461X (2010) https://doi.org/10.1117/12.853685
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. With cad, radiologists use the computer output as a "second opinion" and make the final decisions. Retrieving images is a useful tool to help radiologist to check medical image and diagnosis. The impact of contentbased access to medical images is frequently reported but existing systems are designed for only a particular context of diagnosis. The challenge in medical informatics is to develop tools for analyzing the content of medical images and to represent them in a way that can be efficiently searched and compared by the physicians. CAD is a concept established by taking into account equally the roles of physicians and computers. To build a successful computer aided diagnostic system, all the relevant technologies, especially retrieval need to be integrated in such a manner that should provide effective and efficient pre-diagnosed cases with proven pathology for the current case at the right time. In this paper, it is suggested that integration of content-based image retrieval (CBIR) in cad can bring enormous results in medicine especially in diagnosis. This approach is also compared with other approaches by highlighting its advantages over those approaches.

Citation Download Citation

Preeti Aggarwal and H. K Sardana "Enhancements in medicine by integrating content based image retrieval in computer-aided diagnosis", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461X (26 February 2010); https://doi.org/10.1117/12.853685

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