Work

26P Integrative pathomic-radiomic factor analysis to predict first-line treatment response in high-grade serous ovarian carcinoma

Year: 2025

Type: article

Source: ESMO Real World Data and Digital Oncology

DOI: 10.1016/j.esmorw.2025.100225

Authors: M.A.V. Reinius, A. Crombé, R. Barker-Clarke, I.P. Machado, R. Woitek, S. Freeman, E. Sala, M. Jimenez-Linan, M. Crispin Ortuzar, J.D. Brenton

Institutions: University of Cambridge, Cancer Research UK, Cambridge University Hospitals NHS Foundation Trust, Cancer Research UK Cambridge Center, Université de Bordeaux, Inserm, Institut Gustave Roussy, BoRdeaux Institute of onCology, Cleveland Clinic, Cleveland Clinic Research, Danube Private University, Agostino Gemelli University Polyclinic, Istituti di Ricovero e Cura a Carattere Scientifico

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: gold

Estimated APC paid: $3,170

OpenAlex ID: W4416780888

FWCI:

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