Luminescence spectroscopy diagnosis system for skin cancer research: k-Nearest Neighbour method classificator

P. Kałużyński; D. Kogut

doi:10.1117/12.2503690

14 August 2018 Luminescence spectroscopy diagnosis system for skin cancer research: k-Nearest Neighbour method classificator

P. Kałużyński, D. Kogut

Author Affiliations +

Proceedings Volume 10830, 13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods; 108300X (2018) https://doi.org/10.1117/12.2503690
Event: Thirteenth Integrated Optics: Sensors, Sensing Structures and Methods Conference, 2018, Szcyrk, Poland

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.

Citation Download Citation

P. Kałużyński and D. Kogut "Luminescence spectroscopy diagnosis system for skin cancer research: k-Nearest Neighbour method classificator", Proc. SPIE 10830, 13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 108300X (14 August 2018); https://doi.org/10.1117/12.2503690

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