Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries

Fully supervised semantic segmentation models require pixel-level annotations that are costly to obtain. As a remedy, weakly supervised semantic segmentation has been proposed, where image-level labels and class activation maps (CAM) can detect discriminative regions for specific class objects. In t...

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Detalles Bibliográficos
Autores principales: Syed, Shaheen, Anderssen, Kathryn E., Stormo, Svein Kristian, Kranz, Mathias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925800/
https://www.ncbi.nlm.nih.gov/pubmed/36781947
http://dx.doi.org/10.1038/s41598-023-29665-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925800/
https://www.ncbi.nlm.nih.gov/pubmed/36781947
http://dx.doi.org/10.1038/s41598-023-29665-y

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