Selecting the best optimizers for deep learning–based medical image segmentation

PURPOSE: The goal of this work is to explore the best optimizers for deep learning in the context of medical image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies. APPROACH: Most successful deep learning networks are trained using tw...

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Detalles Bibliográficos
Autores principales: Mortazi, Aliasghar, Cicek, Vedat, Keles, Elif, Bagci, Ulas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551178/
https://www.ncbi.nlm.nih.gov/pubmed/37810757
http://dx.doi.org/10.3389/fradi.2023.1175473

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551178/
https://www.ncbi.nlm.nih.gov/pubmed/37810757
http://dx.doi.org/10.3389/fradi.2023.1175473

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