Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation

Objective. We aim to develop a machine learning algorithm to quantify adipose tissue deposition at surgical sites as a function of biomaterial implantation. Impact Statement. To our knowledge, this study is the first investigation to apply convolutional neural network (CNN) models to identify and se...

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Detalles Bibliográficos
Autores principales: Peeples, Joshua K., Jameson, Julie F., Kotta, Nisha M., Grasman, Jonathan M., Stoppel, Whitney L., Zare, Alina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521712/
https://www.ncbi.nlm.nih.gov/pubmed/37850183
http://dx.doi.org/10.34133/2022/9854084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521712/
https://www.ncbi.nlm.nih.gov/pubmed/37850183
http://dx.doi.org/10.34133/2022/9854084

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