Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer

Objective: This study aimed to develop a nomogram combining CT-based handcrafted radiomics and deep learning (DL) features to preoperatively predict muscle invasion in bladder cancer (BCa) with multi-center validation. Methods: In this retrospective study, 323 patients underwent radical cystectomy w...

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Egile Nagusiak:	Zongjie Wei, Huayun Liu, Yingjie Xv, Fangtong Liao, Quanhao He, Yongpeng Xie, Fajin Lv, Qing Jiang, Mingzhao Xiao
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2024-01-01
Saila:	Heliyon
Gaiak:	Radiomics Deep learning Bladder cancer Computed tomography Nomogram
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2405844024009095
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