Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation

This research proposes augmenting cropped computed tomography (CT) slices with data attributes to enhance the performance of a deep-learning-based automatic left-femur segmentation scheme. The data attribute is the lying position for the left-femur model. In the study, the deep-learning-based automa...

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Detalles Bibliográficos
Autores principales: Apivanichkul, Kamonchat, Phasukkit, Pattarapong, Dankulchai, Pittaya, Sittiwong, Wiwatchai, Jitwatcharakomol, Tanun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305208/
https://www.ncbi.nlm.nih.gov/pubmed/37420884
http://dx.doi.org/10.3390/s23125720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305208/
https://www.ncbi.nlm.nih.gov/pubmed/37420884
http://dx.doi.org/10.3390/s23125720

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