Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training-Reference-Cited by-同舟云学术

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Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training

Published:2024-06 Issue: Volume:114 Page:102369
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Sobotka Daniel,Herold Alexander,Perkonigg Matthias,Beer Lucian,Bastati Nina,Sablatnig Alina,Ba-Ssalamah Ahmed,Langs Georg^ORCID

Funder

Horizon Europe

FWF

WWTF

Publisher

Elsevier BV

Reference49 articles.

1. Hepatic vessels segmentation using deep learning and preprocessing enhancement;Alirr;J. Appl. Clin. Med. Phys.,2023

2. An automated liver tumour segmentation from abdominal CT scans for hepatic surgical planning;Alirr;Int. J. Comput. Assist. Radiol. Surg.,2018

3. Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation;Amyar;Comput. Biol. Med.,2020

4. Does the functional liver imaging score derived from gadoxetic acid–enhanced MRI predict outcomes in chronic liver disease?;Bastati;Radiology,2020

5. Liver segment approximation in CT data for surgical resection planning;Beichel,2004

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