Learning from multiple annotators for medical image segmentation

Supervised machine learning methods have been widely developed for segmentation tasks in recent years. However, the quality of labels has high impact on the predictive performance of these algorithms. This issue is particularly acute in the medical image domain, where both the cost of annotation and...

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Detalles Bibliográficos
Autores principales: Zhang, Le, Tanno, Ryutaro, Xu, Moucheng, Huang, Yawen, Bronik, Kevin, Jin, Chen, Jacob, Joseph, Zheng, Yefeng, Shao, Ling, Ciccarelli, Olga, Barkhof, Frederik, Alexander, Daniel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533416/
https://www.ncbi.nlm.nih.gov/pubmed/37781685
http://dx.doi.org/10.1016/j.patcog.2023.109400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533416/
https://www.ncbi.nlm.nih.gov/pubmed/37781685
http://dx.doi.org/10.1016/j.patcog.2023.109400

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