Work

Development a nomogram integrating deep learning-radiomics, pathomics and Vasari features to predict prognosis of glioblastoma patients

Year: 2025

Type: conference-paper

Study design: Observational Study

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2025/1377

Authors: Qing Zhou, Junlin Zhou

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: W4414234576

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