The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 141–144, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-141-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 141–144, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-141-2017

  10 May 2017

10 May 2017

SMALL NODULES LOCALIZATION ON CT IMAGES OF LUNGS

E. V. Snezhko1, S. A. Kharuzhyk2, A. V. Tuzikov1, and V. A. Kovalev1 E. V. Snezhko et al.
  • 1UIIP, United Institute of Informatics Problems, 220012 Minsk, Belarus
  • 2N.N. Alexandrov National Cancer Centre of Belarus, Lesnoy, Belarus

Keywords: Computed Tomography, Lungs, Solitary Pulmonary Nodules, Segmentation, Localization

Abstract. According to the World Health Organization (WHO) lung cancer remains the leading cause of death of men among all malignant tumors [1, 2]. One of the reasons of such a statistics is the fact that the lung cancer is hardly diagnosed on the yearly stages when it is almost asymptomatic. The purpose of this paper is to present a Computer-Aided Diagnosis (CAD) software developed for assistance of early detection of nodules in CT lung images including solitary pulmonary nodules (SPN) as well as multiple nodules. The efficiency of nodule localization was intended to be as high as the level of the best practice. The software developed supports several functions including lungs segmentation, selection of nodule candidates and nodule candidates filtering.