Review of Optimization Methods in Medical Imaging
نویسندگان
چکیده
منابع مشابه
Iterative Optimization in Medical Imaging
Medical imaging is a broad field and we shall focus here primarily on only two areas: x-ray transmission tomography (CAT-scans); and emission tomography (PET and SPECT scans). We use transmission tomography to illustrate the non-iterative filteredbackprojection (FBP) approach to imaging, and emission tomography, mainly singlephoton emission computed tomography (SPECT), to illustrate iterative m...
متن کاملFuzzy methods in medical imaging
Fuzzy sets theory is of great interest in medical image processing, for dealing with imprecise information and knowledge. It provides a consistent mathematical framework for knowledge representation, information modeling at different levels, fusion of heterogeneous information, reasoning and decision making. In this chapter, we provide an overview of the potential of this theory in medical imag...
متن کاملKernel Methods in Medical Imaging
We introduce machine learning techniques, more specifically kernel methods, and show how they can be used for medical imaging. After a tutorial presentation of machine learning concepts and tools, including Support Vector Machine (SVM), kernel ridge regression and kernel PCA, we present an application of these tools to the prediction of Computed Tomography (CT) images based on Magnetic Resonanc...
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ژورنال
عنوان ژورنال: International Journal of Science and Applied Information Technology
سال: 2019
ISSN: 2278-3083
DOI: 10.30534/ijsait/2019/03862019