Representation and indexing of medical images
Supporting Agencies
- National Council for Scientific and Technological Development
- The National Institute for Science and Technology - Medicine Assisted by Scientific Computing (INCT-MAAC) and Zerbini Foundation
Abstract
The interpretation of an image by the computer is a highly complex task. There is a huge gap between the human and computational understanding of images and its interpretation. In this paper we present some of the concepts involved in the representation, indexing and interpretation of computerized images, focusing on medical imaging. The representation of images by low-level features (such as color and texture) is described as well as the use of high-level features such as ontologies.Downloads
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05-10-2011
Moreno, R. A., de Sá Rebelo, M., & Gutierrez, M. A. (2011). Representation and indexing of medical images. Information Science Journal, 14(2). Retrieved from https://revistas.um.es/analesdoc/article/view/134011
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