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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2023
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| Materias: | |
| 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 |