A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort

A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort

Abstract Deep learning (DL) methods have demonstrated remarkable effectiveness in assisting with lung cancer risk prediction tasks using computed tomography (CT) scans. However, the lack of comprehensive comparison and validation of state-of-the-art (SOTA) models in practical settings limits their c...

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Bibliographic Details
Main Authors: Yifan Jiang, Leyla Ebrahimpour, Philippe Després, Venkata SK. Manem
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-84193-7
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