Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study

Abstract Background Combining conventional radiomics models with deep learning features can result in superior performance in predicting the prognosis of patients with tumors; however, this approach has never been evaluated for the prediction of metachronous distant metastasis (MDM) among patients w...

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Egile Nagusiak:	Zhen Tian, Yifan Cheng, Shuai Zhao, Ruiqi Li, Jiajie Zhou, Qiannan Sun, Daorong Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	BMC 2024-04-01
Saila:	Cancer Imaging
Gaiak:	Retroperitoneal leiomyosarcoma Distant metastasis Deep learning Radiomics
Sarrera elektronikoa:	https://doi.org/10.1186/s40644-024-00697-5
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