Dosiomic and radiomic features within radiotherapy target volume for predicting the treatment response in patients with glioma after radiotherapy

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Publication Details

Journal
BMC Medical Imaging
Published
2025-10-02
DOI
https://doi.org/10.1186/s12880-025-01955-z
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36

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article

Dosiomic and radiomic features within radiotherapy target volume for predicting the treatment response in patients with glioma after radiotherapy

Zongtao Hu, Lin Lin, Hongzhi Wang, Yongkang Zhang et al.
1 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
1.36
article

Dosiomic and radiomic features within radiotherapy target volume for predicting the treatment response in patients with glioma after radiotherapy

Zongtao Hu, Lin Lin, Hongzhi Wang, Yongkang Zhang, Yixin Wang
article en
1 citations

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 25(1)
Hefei Institutes of Physical Science (CN)
Hefei Institutes of Physical Science, Chinese Academy of Sciences
Openalex Percentile: Top 15%
Radiomics and Machine Learning in Medical Imaging
1.36
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