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26 February 2010 Enhancements in medicine by integrating content based image retrieval in computer-aided diagnosis
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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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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