Evolutionary design of explainable algorithms for biomedical image segmentation

An unresolved issue in contemporary biomedicine is the overwhelming number and diversity of complex images that require annotation, analysis and interpretation. Recent advances in Deep Learning have revolutionized the field of computer vision, creating algorithms that compete with human experts in i...

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Detalles Bibliográficos
Autores principales: Cortacero, Kévin, McKenzie, Brienne, Müller, Sabina, Khazen, Roxana, Lafouresse, Fanny, Corsaut, Gaëlle, Van Acker, Nathalie, Frenois, François-Xavier, Lamant, Laurence, Meyer, Nicolas, Vergier, Béatrice, Wilson, Dennis G., Luga, Hervé, Staufer, Oskar, Dustin, Michael L., Valitutti, Salvatore, Cussat-Blanc, Sylvain
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/PMC10628266/
https://www.ncbi.nlm.nih.gov/pubmed/37932311
http://dx.doi.org/10.1038/s41467-023-42664-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628266/
https://www.ncbi.nlm.nih.gov/pubmed/37932311
http://dx.doi.org/10.1038/s41467-023-42664-x

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