A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Ad...
A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Multi-phase computed tomography (CT) images have gained significant popularity in the diagnosis of hepatic disease. There are several challenges in the liver segmentation of multi-phase CT images. (1) Annotation: due to the distinct contrast enhancements observed in different phases (i.e., each phase is considered a different domain), annotating al...
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A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation
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TN_cdi_doaj_primary_oai_doaj_org_article_e67035f142f24991849e7a0516b23a33
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e67035f142f24991849e7a0516b23a33
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ISSN
2306-5354
E-ISSN
2306-5354
DOI
10.3390/bioengineering10080899
