Loss Weightings for Improving Imbalanced Brain Structure Segmentation Using Fully Convolutional Networks

Brain structure segmentation on magnetic resonance (MR) images is important for various clinical applications. It has been automatically performed by using fully convolutional networks. However, it suffers from the class imbalance problem. To address this problem, we investigated how loss weighting...

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Detalles Bibliográficos
Autores principales: Sugino, Takaaki, Kawase, Toshihiro, Onogi, Shinya, Kin, Taichi, Saito, Nobuhito, Nakajima, Yoshikazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393549/
https://www.ncbi.nlm.nih.gov/pubmed/34442075
http://dx.doi.org/10.3390/healthcare9080938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393549/
https://www.ncbi.nlm.nih.gov/pubmed/34442075
http://dx.doi.org/10.3390/healthcare9080938

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