Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scans

Abstract Background Accurate segmentation of lung cancer lesions in computed tomography (CT) is essential for precise diagnosis, personalized therapy planning, and treatment response assessment. While automatic segmentation of the primary lung lesion has been widely studied, the ability to segment m...

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Principais autores:	Xavier Rafael-Palou, Ana Jimenez-Pastor, Luis Martí-Bonmatí, Carlos F. Muñoz-Nuñez, Mario Laudazi, Ángel Alberich-Bayarri
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2025-08-01
Series:	European Radiology Experimental
Assuntos:	Artificial intelligence Deep learning Lung neoplasms Neural networks (computer) Tomography (x-ray computed)
Acceso en liña:	https://doi.org/10.1186/s41747-025-00617-7
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