IMFSegNet: Cost-effective and objective quantification of intramuscular fat in histological sections by deep learning

The assessment of muscle condition is of great importance in various research areas. In particular, evaluating the degree of intramuscular fat (IMF) in tissue sections is a challenging task, which today is still mostly performed qualitatively or quantitatively by a highly subjective and error-prone...

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Detalles Bibliográficos
Autores principales: Praetorius, Jan-Philipp, Walluks, Kassandra, Svensson, Carl-Magnus, Arnold, Dirk, Figge, Marc Thilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407270/
https://www.ncbi.nlm.nih.gov/pubmed/37560127
http://dx.doi.org/10.1016/j.csbj.2023.07.031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407270/
https://www.ncbi.nlm.nih.gov/pubmed/37560127
http://dx.doi.org/10.1016/j.csbj.2023.07.031

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