SLCV–a supervised learning—computer vision combined strategy for automated muscle fibre detection in cross-sectional images

Muscle fibre cross-sectional area (CSA) is an important biomedical measure used to determine the structural composition of skeletal muscle, and it is relevant for tackling research questions in many different fields of research. To date, time consuming and tedious manual delineation of muscle fibres...

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Detalles Bibliográficos
Autores principales: Rettig, Anika, Haase, Tobias, Pletnyov, Alexandr, Kohl, Benjamin, Ertel, Wolfgang, von Kleist, Max, Sunkara, Vikram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657690/
https://www.ncbi.nlm.nih.gov/pubmed/31367478
http://dx.doi.org/10.7717/peerj.7053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657690/
https://www.ncbi.nlm.nih.gov/pubmed/31367478
http://dx.doi.org/10.7717/peerj.7053

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