Understanding the principles of medical image analysis. Introduction to algorithms used in digital image
\nediting, as well as to advanced pattern recognition techniques. Students will be able to recognise which
\nmedical image analysis should be applied. They will be able to decide on the appropriate
\nalgorithm for the selected method, as well as to implement it with the help of one of the existing
\nframeworks or program libraries.<\/p>\n
Image signal classification and image specificity in medicine. Image preprocessing. Mathematical
\nmorphology and morphological filters. Image segmentation. Distance transformation and shortest path
\nplanning. Image representation. Extraction of properties. Parameter and distribution estimates, nearest
\nneighbour methods, linear discriminants. Dimensionality reduction. PCA analysis, Fisher discriminant,
\nselection of a subset of properties. Clustering, Bayesian classifiers, neural networks, support vector
\nmachines. Fractal and multifractal image analysis in medicine. Face recognition and analysis. Document
\nprocessing and classification. Watermarks and steganography.<\/p>\n
Studying and analysing scientific journals and other literature, students broaden the
\nknowledge acquired in the lectures. They are able to understand the basic algorithms used in image
\nprocessing and pattern recognition. They expand knowledge by working on a specific problem in the field
\nof doctoral dissertation. Students are trained to write scientific papers.<\/p>\n","protected":false},"excerpt":{"rendered":"
Objectives and Outcomes Understanding the principles of medical image analysis. Introduction to algorithms used in digital image editing, as well as to advanced pattern recognition techniques. Students will be able to recognise which medical image … Read more<\/a><\/p>\n Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-14060","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"\n