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A deep learning lung cancer segmentation pipeline to facilitate CT-based radiomics

Year: 2026

Type: article

Source: Clinical Radiology

DOI: 10.1016/j.crad.2026.107375

Authors: Alfred Chung Pui So, Daryl Cheng, Shahab Aslani, Mehran Azimbagirad, Daisuke Yamada, Roberta Dunn, Eleni Josephides, Ellie McDowall, Annie-Rose Henry, Andrea Bille, Nishanth Sivarasan, Adam Pennycuick, Eleni Karapanagiotou, Joseph Jacob

Institutions: Guy's Hospital, Guy's and St Thomas' NHS Foundation Trust, University College London, King's College London, St Thomas' Hospital

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: GlaxoSmithKline, Gilead Sciences, Microsoft Research, F. Hoffmann-La Roche, Wellcome Trust, National Institute for Health and Care Research, University College London Hospitals NHS Foundation Trust

Awards: G339059223, Enhancing the characterisation of early respiratory disease to improve population health, Computer-based analysis of early fibrosing lung disease

OpenAlex ID: W4411463278

FWCI:

Cites: 60

Cited by:

Related to: 10