Liver segmentation network based on detail enhancement and multi-scale feature fusion

Liver segmentation network based on detail enhancement and multi-scale feature fusion

Abstract Due to the low contrast of abdominal CT (Computer Tomography) images and the similar color and shape of the liver to other organs such as the spleen, stomach, and kidneys, liver segmentation presents significant challenges. Additionally, 2D CT images obtained from different angles (such as...

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Bibliographic Details
Main Authors: Lu Tinglan, Qin Jun, Qin Guihe, Shi Weili, Zhang Wentao
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Detail enhancement
Multi-scale feature fusion
Deep learning
Liver segmentation
Online Access:https://doi.org/10.1038/s41598-024-78917-y
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https://doi.org/10.1038/s41598-024-78917-y

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