Work

Longitudinal Trend of a Radiomic Lung Cancer Prediction Score for Sub-solid Nodules

Year: 2024

Type: conference-abstract

Source: American Journal of Respiratory and Critical Care Medicine

DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a6868

Authors: A. Vachani, S. Zeb, J. Steltz, W. Hickes, N. Kainth, M. Clark, A. Rabani, A. Scarsbrook, G.J. Padley, A. Kamara, K. Spechko, E. Bartlett, S. Padley, M. Mailman, R. Murphy, C. Arteta, L. Pickup, F. Gleeson

Institutions: University of Pennsylvania, Leeds Teaching Hospitals NHS Trust, Royal Brompton Hospital, Imperial College London, Johnson & Johnson (United States), Oxford Spires Academy, University of Oxford, Oxford University Hospitals NHS Trust

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: closed

OpenAlex ID: W4396500603

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