Real-Time Liver Lesion Segmentation in Ultrasound Imaging using Deep Learning

Real-Time Liver Lesion Segmentation in Ultrasound Imaging using Deep Learning

Ultrasound (US) imaging is a widely used, non-invasive method for detecting liver tumors and assessing parenchymal changes. However, the inherent variability and noise in US images pose challenges for accurate lesion identification. This study aims to develop and evaluate a deep learning (DL) model...

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Bibliographic Details
Main Authors: Marinela-Cristiana URHUŢ, Larisa Daniela SĂNDULESCU, Costin Teodor STREBA, Mădălin MĂMULEANU, Adriana CIOCÂLTEU, Sergiu Marian CAZACU, Suzana DĂNOIU
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2025-05-01
Series:Applied Medical Informatics
Subjects:
Ultrasound Imaging
Liver Tumor
Segmentation
U-Net
Focal Tversky Loss
Real-time detection of PCR products
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1194
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