Non-invasive diagnosis of pancreatic steatosis with ultrasound images using deep learning network

The deep learning model significantly enhanced the diagnostic accuracy of conventional ultrasound for PS detection. Its high sensitivity could facilitate widespread screening for PS in large populations, aiding in the early identification of individuals at an elevated risk for T2DM in routine clinical practice.

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Institutions

Publication Details

Journal
Heliyon
Published
2024-09-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e37580
Citations
6
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.32
Controls
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article

Non-invasive diagnosis of pancreatic steatosis with ultrasound images using deep learning network

Jing Su, Jianqiu Huang, Li Zhang, Yang Sun et al.
6 citations
Heliyon
Liver Disease Diagnosis and Treatment
2.32
article

Non-invasive diagnosis of pancreatic steatosis with ultrasound images using deep learning network

Jing Su, Jianqiu Huang, Li Zhang, Yang Sun, Ligang Cui
article en
6 citations

Abstract

The deep learning model significantly enhanced the diagnostic accuracy of conventional ultrasound for PS detection. Its high sensitivity could facilitate widespread screening for PS in large populations, aiding in the early identification of individuals at an elevated risk for T2DM in routine clinical practice.

HeliyonVol. 10(17)
Peking University (CN), Peking University Third Hospital (CN)
Zero hunger
Openalex Percentile: Top 11%
Liver Disease Diagnosis and Treatment
2.32
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