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From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning

From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning

Eduardo Romero, Fabio González
Copyright: © 2010 |Pages: 26
ISBN13: 9781605669564|ISBN10: 1605669563|ISBN13 Softcover: 9781616922177|EISBN13: 9781605669571
DOI: 10.4018/978-1-60566-956-4.ch001
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MLA

Romero, Eduardo, and Fabio González. "From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning." Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, edited by Fabio A. Gonzalez and Eduardo Romero, IGI Global, 2010, pp. 1-26. https://doi.org/10.4018/978-1-60566-956-4.ch001

APA

Romero, E. & González, F. (2010). From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning. In F. Gonzalez & E. Romero (Eds.), Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques (pp. 1-26). IGI Global. https://doi.org/10.4018/978-1-60566-956-4.ch001

Chicago

Romero, Eduardo, and Fabio González. "From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning." In Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques, edited by Fabio A. Gonzalez and Eduardo Romero, 1-26. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-956-4.ch001

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Abstract

This chapter introduces the reader into the main topics covered by the book: biomedical images, biomedical image analysis and machine learning. The general concepts of each topic are presented and the most representative techniques are briefly discussed. Nevertheless, the chapter focuses on the problem of image understanding (i.e., the problem of mapping the low-level image visual content to its high-level semantic meaning). The chapter discusses different important biomedical problems, such as computer assisted diagnosis, biomedical image retrieval, image-user interaction and medical image navigation, which require solutions involving image understanding. Image understanding, thought of as the strategy to associate semantic meaning to the image visual contents, is a difficult problem that opens up many research challenges. In the context of actual biomedical problems, this is probably an invaluable tool for improving the amount of knowledge that medical doctors are currently extracting from their day-to-day work. Finally, the chapter explores some general ideas that may guide the future research in the field.

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