Generation of annotated multimodal ground truth datasets for abdominal medical image registration

PURPOSE: Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data, we present...

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Библиографические подробности
Опубликовано в: :Int J Comput Assist Radiol Surg
Главные авторы: Bauer, Dominik F., Russ, Tom, Waldkirch, Barbara I., Tönnes, Christian, Segars, William P., Schad, Lothar R., Zöllner, Frank G., Golla, Alena-Kathrin
Формат: Artigo
Язык:Inglês
Опубликовано: Springer International Publishing 2021
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Original Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8295129/
https://ncbi.nlm.nih.gov/pubmed/33934313
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-021-02372-7
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