Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models

Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models

Abstract The segmentation of liver margins in computed tomography (CT) images presents significant challenges due to the complex anatomical variability of the liver, with critical implications for medical diagnostics and treatment planning. In this study, we leverage a substantial dataset of over 4,...

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Bibliographic Details
Main Authors: Mohammad Amir Sattari, Seyed Abed Zonouri, Ali Salimi, Saadat Izadi, Ali Reza Rezaei, Zahra Ghezelbash, Mohsen Hayati, Mehrdad Seifi, Milad Ekhteraei
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Liver segmentation
CT imaging
Deep learning
U-Net
Detectron2
Medical diagnostics
Online Access:https://doi.org/10.1038/s41598-025-92423-9
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https://doi.org/10.1038/s41598-025-92423-9

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