Utilizing Heterogeneous Feature Dimensionality Reduction and Stacking Model for Hematoma Expansion Diagnosis-Reference-Cited by-同舟云学术

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Utilizing Heterogeneous Feature Dimensionality Reduction and Stacking Model for Hematoma Expansion Diagnosis

Published:2023-12-15 Issue: Volume:9 Page:528-535
ISSN:
Container-title:2023 9th International Conference on Big Data and Information Analytics (BigDIA)
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Author:

Lu Qianqi¹,Xie Yuxiang¹,Zhang Qiuhong²,Zeng Yunjv³

Affiliation:

1. National University of Defense Technology,College of Systems Engineering,Changsha,China

2. Nanjing Agricultural University,College of Artificial Intelligence,Nanjing,China

3. Guangxi University,School of Computer, Electronics and Information,Nanning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428932/10429051/10429228.pdf?arnumber=10429228

Reference20 articles.

1. Perihematomal Edema After Intracerebral Hemorrhage: An Update on Pathogenesis, Risk Factors, and Therapeutic Advances

2. Multiphase CT Angiography Improves Prediction of Intracerebral Hemorrhage Expansion

3. Radiomics in medical imaging—“how-to” guide and critical reflection

4. Computational Radiomics System to Decode the Radiographic Phenotype

5. Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model

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