Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset

Lung cancer remains the deadliest cancer in the world, accounting for 18 % of cancer-related deaths in 2020 [1]. The use of low-dose computed tomography (LDCT) in lung cancer screening (LCS) for high-risk populations has successfully reduced lung cancer-specific mortality by detecting more early stage cancers [2–4]. Motivated by this evidence, several countries are now implementing LDCT LCS programs [5–8].

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