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Proceedings Paper

Luminescence spectroscopy diagnosis system for skin cancer research: k-Nearest Neighbour method classificator
Author(s): P. Kałużyński; D. Kogut
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Paper Abstract

A precision classification of neoplastic change plays very important role in cancer diagnosis. Because of constantly developing technology, the amount of information received is also increased. The ability to distinguish between tumor classes (in different kind of tissues) by using spectra data is an novel and promising approach to cancer classification. In this paper, we present a classification spectra data by k-Nearest Neighbor (kNN) method, which can and will be used for luminescence spectroscopy skin cancer diagnosis system.

Paper Details

Date Published: 14 August 2018
PDF: 5 pages
Proc. SPIE 10830, 13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 108300X (14 August 2018); doi: 10.1117/12.2503690
Show Author Affiliations
P. Kałużyński, Silesian Univ. of Technology (Poland)
D. Kogut, Silesian Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10830:
13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods
Przemyslaw Struk; Tadeusz Pustelny, Editor(s)

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