Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading

The proposed deep learning framework improves high-grade glioma grading by modality imputation and segmentation, aiding the senior radiologist and offering potential to advance clinical decision-making.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-05-30
DOI
https://doi.org/10.1186/s12911-025-03029-0
Citations
3
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
2.53

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article

Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading

Xiaofeng Zhou, Enyu Wang, Yuhang Ye, Yang Li et al.
3 citations
BMC Medical Informatics and Decision Making
Brain Tumor Detection and Classification
2.53
article

Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading

Xiaofeng Zhou, Enyu Wang, Yuhang Ye, Yang Li, Yahan Zhou, Hongmei Mi, Binggang Xiao, Zhirui Zhou, Fengming Zhang, Qinqin Zhou, Lin Zheng, Vicky Y. Wang, Chen Chen, Ming Chen, Jiayi Wang, Qi Liu, Haoyang Wang, Jiajun Xu, Ling Zhu, Chenjie Xu, Dong Xu, Dongping Zhang, Zhiwei Wu, Jiabin Yu
article en
3 citations

Abstract

The proposed deep learning framework improves high-grade glioma grading by modality imputation and segmentation, aiding the senior radiologist and offering potential to advance clinical decision-making.

BMC Medical Informatics and Decision MakingVol. 25(1)
Fujian Medical University (CN), Northeast Normal University (CN), Wenzhou Medical University (CN), Zhejiang Cancer Hospital (CN), Zhangzhou Municipal Hospital of Fujian Province (CN), Xing Wei College (CN), Shanghai East Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Zhejiang Taizhou Hospital (CN), Huashan Hospital (CN), China Jiliang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Brain Tumor Detection and Classification
2.53
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