Transformer-based cardiac substructure segmentation from contrast and non-contrast computed tomography for radiotherapy planning

Background and Purpose: Accurate segmentation of cardiac substructures on computed tomography (CT) scans is essential for radiotherapy planning. This study evaluated whether pretrained transformers enabled data-efficient training using a fixed architecture with balanced curriculum learning while ach...

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Autores principales:	Aneesh Rangnekar, Nikhil Mankuzhy, Jonas Willmann, Chloe Min Seo Choi, Abraham Wu, Maria Thor, Andreas Rimner, Harini Veeraraghavan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-05-01
Colección:	Physics and Imaging in Radiation Oncology
Materias:	Radiotherapy Cardiac substructures Segmentation Computed tomography Heart chambers Deep learning
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2405631626001119
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