Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection

This work offers a robust solution for the early identification of both known and emerging APIDs. The developed LRAE showed remarkable performance in detecting abnormal PICT image sequences.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-11-21
DOI
https://doi.org/10.21037/qims-2025-1285
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection

Zhenlei Lyu, Yanan Zhu, Yinwei Zhan, Yuefu Zhan et al.
Quantitative Imaging in Medicine and Surgery
COVID-19 diagnosis using AI
article

Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection

Zhenlei Lyu, Yanan Zhu, Yinwei Zhan, Yuefu Zhan, Rong Liu, Y. N. Gao
article en

Abstract

This work offers a robust solution for the early identification of both known and emerging APIDs. The developed LRAE showed remarkable performance in detecting abnormal PICT image sequences.

Quantitative Imaging in Medicine and SurgeryVol. 15(12)
Guangdong University of Technology (CN), Longgang Central Hospital (CN), Shenzhen Third People’s Hospital (CN), Hainan Medical University (CN)
Openalex Percentile: Top 50%
COVID-19 diagnosis using AI
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Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection — Zhenlei Lyu, Yanan Zhu, et al. · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS