Work

Deep learning radiomic nomogram can distinguish intracranial solitary fibrous tumor from angiomatous meningioma: a multicenter study

Year: 2024

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: 10.58530/2024/0357

Authors: Xiaohong Liang, Xaioai Ke, Junlin Zhou, Liqin Zhao

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: W4404746679

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