Article

Benchmarking Deep Learning for NSCLC PET/CT Segmentation on a Histologically Confirmed Vietnamese Dataset: Validation and Generalization

2026-07-03

Abstract excerpt

Accurate segmentation of non-small cell lung cancer (NSCLC) on positron emission tomography/computed tomography (PET/CT) is a critical foundation for automated metabolic tumor volume (MTV) quantification and staging. Although deep learning models achieve high performance on large-scale datasets, their generalization across different clinical domains remains challenged by variations in imaging protocols and patient...

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Literature Corpus work: 8a24b7f3-7286-5058-bc03-0d082f09db76
DOI: 10.20944/preprints202607.0245.v1

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