QR Kod

A deep learning model for differentiating paediatric intracranial germ cell tumour subtypes and predicting survival with MRI: a multicentre prospective study

Abstract Background The pretherapeutic differentiation of subtypes of primary intracranial germ cell tumours (iGCTs), including germinomas (GEs) and nongerminomatous germ cell tumours (NGGCTs), is essential for clinical practice because of distinct treatment strategies and prognostic profiles of the...

Ful tanımlama

Kaydedildi:
Asıl Yazarlar: Yanong Li, Zhizheng Zhuo, Jinyuan Weng, Sven Haller, Harrison X. Bai, Bo Li, Xing Liu, Mingwang Zhu, Zheng Wang, Jane Li, Xiaoguang Qiu, Yaou Liu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BMC 2024-09-01
Seri Bilgileri:BMC Medicine
Konular:
Deep learning (DL)
Magnetic resonance imaging (MRI)
Diagnostic model
Prognostic evaluation
Primary intracranial germ cell tumours (iGCTs)
Online Erişim:https://doi.org/10.1186/s12916-024-03575-w
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller