Cargando…
Real-time Burn Classification using Ultrasound Imaging
This article presents a real-time approach for classification of burn depth based on B-mode ultrasound imaging. A grey-level co-occurrence matrix (GLCM) computed from the ultrasound images of the tissue is employed to construct the textural feature set and the classification is performed using nonli...
Autores principales: | Lee, Sangrock, Rahul, Ye, Hanglin, Chittajallu, Deepak, Kruger, Uwe, Boyko, Tatiana, Lukan, James K., Enquobahrie, Andinet, Norfleet, Jack, De, Suvranu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118155/ https://www.ncbi.nlm.nih.gov/pubmed/32242131 http://dx.doi.org/10.1038/s41598-020-62674-9 |
Ejemplares similares
-
Synthetic tissues lack the fidelity for the use in burn care simulators
por: Hannay, Vanessa, et al.
Publicado: (2022) -
Burn-related Collagen Conformational Changes in ex vivo Porcine Skin using Raman Spectroscopy
por: Ye, Hanglin, et al.
Publicado: (2019) -
Thermally damaged porcine skin is not a surrogate mechanical model of human skin
por: Gallagher, Samara, et al.
Publicado: (2022) -
Development and face validation of ultrasound-guided renal biopsy virtual trainer
por: Enquobahrie, Andinet, et al.
Publicado: (2019) -
Deep learning-based motion artifact removal in functional near-infrared spectroscopy
por: Gao, Yuanyuan, et al.
Publicado: (2022)