Hybrid method for automatic initialization and segmentation of ventricular on large-scale cardiovascular magnetic resonance images

Our experimental results show that the proposed schema can automatically analyze large-scale quantification from population cardiac images with robustness and accuracy.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-05-07
DOI
https://doi.org/10.1186/s12880-025-01683-4
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72

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article

Hybrid method for automatic initialization and segmentation of ventricular on large-scale cardiovascular magnetic resonance images

Huaifei Hu, Chuan Xu, Ning Pan, Zhi Li et al.
2 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
2.72
article

Hybrid method for automatic initialization and segmentation of ventricular on large-scale cardiovascular magnetic resonance images

Huaifei Hu, Chuan Xu, Ning Pan, Zhi Li, Junfeng Gao
article en
2 citations

Abstract

Our experimental results show that the proposed schema can automatically analyze large-scale quantification from population cardiac images with robustness and accuracy.

BMC Medical ImagingVol. 25(1)
Minzu University of China (CN), State Ethnic Affairs Commission (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Good health and well-being
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
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