Multiperspective recognition applied to the computer-aided medical diagnosis - a comparative study of methods

• Published in: 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 4; pp. 3807 - 3810 vol.4
• Main Authors: Kurzynski, M.W., Puchala, E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2001
• Subjects: Algorithm design and analysis; Artificial neural networks; Back; Computer aided diagnosis; Counting circuits; Diseases; Fuzzy neural networks; Medical diagnosis; Medical diagnostic imaging; Pattern recognition
• ISBN: 9780780372115; 0780372115
• ISSN: 1094-687X; 1558-4615
• DOI: 10.1109/IEMBS.2001.1019668

Deals with the multiperspective recognition technique applied to computer-aided decisions in medicine. For three different concepts of multiperspective classification, i.e. direct, decomposed independent and decomposed dependent approach, several decision algorithms are presented. They are: probabilistic (empirical Bayes) algorithm, nearest neighbour algorithm, fuzzy method and artificial neural network of the back propagation and counter propagation types. Proposed methods and algorithms have been applied to the computer-aided diagnosis of chronic renal failure and decisions in non-Hodgkin lymphoma. Results of experimental investigations on the real data and outcomes of the comparative analysis of the algorithms discussed are presented.