Preoperative prediction of the Lauren classification in gastric cancer using automated nnU-Net and radiomics: a multicenter study

Preoperative prediction of the Lauren classification in gastric cancer using automated nnU-Net and radiomics: a multicenter study

Abstract Objectives To develop and validate a deep learning model based on nnU-Net combined with radiomics to achieve autosegmentation of gastric cancer (GC) and preoperative prediction via the Lauren classification. Methods Patients with a pathological diagnosis of GC were retrospectively enrolled...

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Bibliographic Details
Main Authors: Bo Cao, Jun Hu, Haige Li, Xuebing Liu, Chang Rong, Shuai Li, Xue He, Xiaomin Zheng, Kaicai Liu, Chuanbin Wang, Wei Guo, Xingwang Wu
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Insights into Imaging
Subjects:
Gastric cancer
Deep learning
Radiomics
Computed tomography
Online Access:https://doi.org/10.1186/s13244-025-01923-9
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https://doi.org/10.1186/s13244-025-01923-9

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