Enhancing perihematomal edema segmentation: integrating prior knowledge with deep learning for enhanced accuracy and interpretability

Our proposed PESE-Net leverages the contextual relations of PHE between consecutive slices as a priori knowledge for PHE segmentation, achieving effective segmentation and stable volume estimation of PHE regions.

Authors

Yu Ao (ORCID: https://orcid.org/0009-0004-7783-9872)
Weili Shi (ORCID: https://orcid.org/0000-0001-6347-739X)
Zhengang Jiang (ORCID: https://orcid.org/0000-0001-6315-243X)
Yonghui Li (ORCID: https://orcid.org/0000-0001-8965-8324)
Yu Miao (ORCID: https://orcid.org/0000-0002-7530-0724)
Shuai Geng

Institutions

Changchun University of Science and Technology (CN)

Publication Details

Journal: Quantitative Imaging in Medicine and Surgery
Published: 2025-04-21
DOI: https://doi.org/10.21037/qims-24-2404
Primary Topic: Venous Thromboembolism Diagnosis and Management
Type: article
Field-Weighted Citation Impact: 0.00

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article

Enhancing perihematomal edema segmentation: integrating prior knowledge with deep learning for enhanced accuracy and interpretability

Yu Ao, Weili Shi, Zhengang Jiang, Yonghui Li et al.

Apr 21, 2025

Quantitative Imaging in Medicine and Surgery

Venous Thromboembolism Diagnosis and Management

article

Enhancing perihematomal edema segmentation: integrating prior knowledge with deep learning for enhanced accuracy and interpretability

Yu Ao, Weili Shi, Zhengang Jiang, Yonghui Li, Yu Miao, Shuai Geng

April 21, 2025article en

Abstract

Our proposed PESE-Net leverages the contextual relations of PHE between consecutive slices as a priori knowledge for PHE segmentation, achieving effective segmentation and stable volume estimation of PHE regions.

Quantitative Imaging in Medicine and SurgeryVol. 15(5)

Changchun University of Science and Technology (CN)

Openalex Percentile: Top 83%

Venous Thromboembolism Diagnosis and Management

DOI Open Access PDF OpenAlex

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Enhancing perihematomal edema segmentation: integrating prior knowledge with deep learning for enhanced accuracy and interpretability — Yu Ao, Weili Shi, et al. · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS