This article is cited in 3 papers

Data mining

A review of the intelligent lung cancer diagnosis methods

A. A. Meldo^a, L. V. Utkin<sup>b

a</sup> Saint-Petersburg clinical scientific and practical center for special types of medical care (oncology-oriented). St. Petersburg, Russia
^b Peter the Great St. Petersburg Polytechnic University, St.Petersburg, Russia

Abstract: An overview of new lung cancer intellectual diagnosis methods and of peculiarities of intelligent diagnostic systems that classify lung nodules in images obtained from the computed tomography is presented in the paper. Basic steps of the lung nodule detection and classification are considered. The main attention is paid to the analysis of the diagnostic system intellectual components based on deep and shallow learning algorithms.

Keywords: artificial intelligence, lung cancer, classification, computed tomography, diagnostic system.

DOI: 10.14357/20718594180313

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