Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

Automatic segmentation methods are an important advancement in medical image analysis. Machine learning techniques, and deep neural networks in particular, are the state-of-the-art for most medical image segmentation tasks. Issues with class imbalance pose a significant challenge in medical datasets...

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Detalles Bibliográficos
Autores principales: Yeung, Michael, Sala, Evis, Schönlieb, Carola-Bibiane, Rundo, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785124/
https://www.ncbi.nlm.nih.gov/pubmed/34953431
http://dx.doi.org/10.1016/j.compmedimag.2021.102026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785124/
https://www.ncbi.nlm.nih.gov/pubmed/34953431
http://dx.doi.org/10.1016/j.compmedimag.2021.102026

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