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Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI

Jianhong Cheng Hulin Kuang Songhan Yang Hailin Yue Jin Liu Jianxin Wang

大数据挖掘与分析（英文版）2025，Vol.8Issue(2)：364-382,19.

大数据挖掘与分析（英文版）2025，Vol.8Issue(2)：364-382,19.DOI:10.26599/BDMA.2024.9020083

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI

Jianhong Cheng ¹Hulin Kuang ²Songhan Yang ¹Hailin Yue ²Jin Liu ²Jianxin Wang²

作者信息

1. Institute of Guizhou Aerospace Measuring and Testing Technology,Guiyang 550009,China
2. Hunan Provincial Key Laboratory on Bioinformatics,School of Computer Science and Engineering,Central South University,Changsha 410083,China
折叠

摘要

关键词

deep learning/glioma segmentation/survival risk/multimodal magnetic resonance imaging(MRI)

Key words

deep learning/glioma segmentation/survival risk/multimodal magnetic resonance imaging(MRI)

引用本文复制引用

Jianhong Cheng,Hulin Kuang,Songhan Yang,Hailin Yue,Jin Liu,Jianxin Wang..Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI[J].大数据挖掘与分析（英文版）,2025,8(2):364-382,19.

基金项目

This work was supported in part by the National Key Research and Development Program of China(No.2021YFF1201200),National Natural Science Foundation of China(Nos.62302119,62172444,and 62476291),Science and Technology Innovation Program of Hunan Province(No.2022RC1031),Guizhou Provincial Basic Research Program(Natural Science)(No.QKH-ZK[2024]603),Guiyang City Science and Technology Plan Project(No.[2024]2-18),and High Performance Computing Center of Central South University. （No.2021YFF1201200）

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