Original title: Detection Of Pathological Vertebrae In Spinal Ct Utilised By Machine Learning Methods
Authors: Tyshchenko, Bohdan
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper presents a computer aided detection system to identify pathological vertebrae and to classify a type of pathology. Designed classification system is based on using neural network (NN), which performs classification step and on principal component analysis (PCA), which is used to reducing the original number of observation features.
Keywords: Classification; CT; Machine Learning; Neural network; Pathologies of spine; Principal Component Analysis; Vertebra
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186700

Permalink: http://www.nusl.cz/ntk/nusl-414602


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers