Systematic literature review on the use of Convolutional Neural Networks for pulmonary nodule detection in CT Scans

• Joyce Moura Silva UFPI

DOI: https://doi.org/10.5753/enucompi.2025.9732

Abstract

Lung cancer is one of the leading causes of mortality worldwide, as pointed out by the International Agency for Research on Cancer (IARC). Computed tomography is widely used to detect lung nodules, but manual analysis of these images is challenging due to the complexity and large volume of data. CNNs have been used to improve automatic nodule detection, demonstrating great effectiveness in identifying complex patterns in medical images. This study conducts a Systematic Literature Review in order to understand trends in the use of CNNs in the detection of pulmonary nodules and analyze these architectures and databases.

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