Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies
نویسندگان
چکیده
منابع مشابه
Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies
Multi-atlas segmentation is a widely used tool in medical image analysis, providing robust and accurate results by learning from annotated atlas datasets. However, the availability of fully annotated atlas images for training is limited due to the time required for the labelling task. Segmentation methods requiring only a proportion of each atlas image to be labelled could therefore reduce the ...
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Stavros Alchatzidis134 [email protected] Aristeidis Sotiras2 [email protected] Nikos Paragios134 [email protected] 1 Equipe GALEN, INRIA Saclay, Île-de-France, Orsay, France 2 Section of Biomedical Image Analysis,Department of Radiology, University of Pennsylvania, Pennsylvania, USA 3 Ecole des Ponts Paristech, Champs-sur-Marne, Île-de-France, France 4 Ecole Central...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2018
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2017.2711020