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

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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Bibliografiska uppgifter
Huvudupphovsmän: Zhen Tian, Yifan Cheng, Shuai Zhao, Ruiqi Li, Jiajie Zhou, Qiannan Sun, Daorong Wang
Materialtyp: Artikel
Språk:English
Publicerad: BMC 2024-04-01
Serie:Cancer Imaging
Ämnen:
Retroperitoneal leiomyosarcoma
Distant metastasis
Deep learning
Radiomics
Länkar:https://doi.org/10.1186/s40644-024-00697-5

Internet

https://doi.org/10.1186/s40644-024-00697-5

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