نتایج جستجو برای: biomedical image processing
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With recent technological advances, biomedical image informatics has become a quickly rising field. It focuses on the use of computational techniques to process and analyze biomedical images. Its goal is to obtain useful knowledge from complicated and heterogeneous images from diferent modalities for biomedical research. Although the advancement of imaging technologies has provided a data explo...
We present some issues that arise when a geometric transformation is performed on an image or a volume. In particular, we illustrate the well-known problems of blocking, blurring, aliasing and ringing. Although the solution to these problems is trivial in an analog (optical) image processing system, their solution in a discrete (numeric) context is much more difficult. The modern trend of biome...
This chapter gives an introduction to the methods of biomedical image processing. After some fundamental preliminary remarks to the terminology used, medical imaging modalities are introduced (Sect. 1.2). Sections 1.3 and 1.4 deal with low-level image processing and visualization, respectively, as far as necessary to understand the following chapters. Subsequently, the core steps of image analy...
Biomedical Signal and Image Processing (BSIP) constitutes a major field of interest for both educational aspects and in research environment in Biomedical Engineering (BME). In fact, the physiological knowledge improvement in a wide variety of innovative research, as well as the implementation in many clinical procedures, make use extensively of these concepts in more or less sophisticated medi...
New biomedical technologies need to be integrated for research on complex diseases. It is necessary to combine and analyze information coming from different sources: genetic-molecular, clinical data and environmental risks. This paper presents the work carried on by the INBIOMED research network within the field of biomedical image analysis. The overall objective is to respond to the growing de...
Ill-posed inverse problems are commonplace in biomedical image processing. Their solution typically requires imposing prior knowledge about the latent ground truth. While this regularizes the problem to an extent where it can be solved, it also biases the result toward the expected. With inappropriate priors harming more than they use, it remains unclear what prior to use for a given practical ...
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