Evaluation of clinical applicability of automated liver parenchyma segmentation of multi-center magnetic resonance images

Evaluation of clinical applicability of automated liver parenchyma segmentation of multi-center magnetic resonance images

Purpose: Automated algorithms for liver parenchyma segmentation can be used to create patient-specific models (PSM) that assist clinicians in surgery planning. In this work, we analyze the clinical applicability of automated deep learning methods together with level set post-processing for liver seg...

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Bibliographic Details
Main Authors: Varatharajan Nainamalai, Pravda Jith Ray Prasad, Egidijus Pelanis, Bjørn Edwin, Fritz Albregtsen, Ole Jakob Elle, Rahul P. Kumar
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:European Journal of Radiology Open
Subjects:
Magnetic resonance images
Liver parenchyma
Deep learning
Segmentation
Level set
Clinical applicability
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047722000557

Internet

http://www.sciencedirect.com/science/article/pii/S2352047722000557

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