DECE-Net: a dual-path encoder network with contour enhancement for pneumonia lesion segmentation

The experimental results indicate that the proposed DECE-Net achieves state-of-the-art performance, especially in the precise segmentation of small lesion areas.

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Publication Details

Journal
Journal of Medical Imaging
Published
2025-05-23
DOI
https://doi.org/10.1117/1.jmi.12.3.034503
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
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article

DECE-Net: a dual-path encoder network with contour enhancement for pneumonia lesion segmentation

Meixi Wang, Ruyu Liu, Xiumei Li, Tianyang Wang et al.
Journal of Medical Imaging
COVID-19 diagnosis using AI
article

DECE-Net: a dual-path encoder network with contour enhancement for pneumonia lesion segmentation

Meixi Wang, Ruyu Liu, Xiumei Li, Tianyang Wang, Junmei Sun
article en

Abstract

The experimental results indicate that the proposed DECE-Net achieves state-of-the-art performance, especially in the precise segmentation of small lesion areas.

Journal of Medical ImagingVol. 12(03)
Hangzhou Normal University (CN)
Openalex Percentile: Top 82%
COVID-19 diagnosis using AI
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