Clinic, CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis

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Publication Details

Journal
BMC Medical Imaging
Published
2024-10-07
DOI
https://doi.org/10.1186/s12880-024-01442-x
Citations
6
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
1.11

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article

Clinic, CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis

Yongbin Huang, Guoxin Zhao, Jingzhi Ma, Jie Long et al.
6 citations
BMC Medical Imaging
Advanced X-ray and CT Imaging
1.11
article

Clinic, CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis

Yongbin Huang, Guoxin Zhao, Jingzhi Ma, Jie Long, Ning Li, Yinghui Liu, Kaixiang Zhang, Yuming Zhang, Huangze Yan, Xiuzhu Zhang
article en
6 citations

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 24(1)
Fujian Medical University (CN), Guangdong Medical College (CN)
Horizon 2020 Framework Programme
Zero hunger
Openalex Percentile: Top 24%
Advanced X-ray and CT Imaging
1.11
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Clinic, CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis — Yongbin Huang, Guoxin Zhao, et al. · BMC Medical Imaging (2024) | TGRS Research Map | TGRS