Cargando…
Enhancing X-ray-Based Wrist Fracture Diagnosis Using HyperColumn-Convolutional Block Attention Module
Fractures affect nearly 9.45% of the South Korean population, with radiography being the primary diagnostic tool. This research employs a machine-learning methodology that integrates HyperColumn techniques with the convolutional block attention module (CBAM) to enhance fracture detection in X-ray ra...
Autores principales: | Oh, Joonho, Hwang, Sangwon, Lee, Joong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529517/ https://www.ncbi.nlm.nih.gov/pubmed/37761294 http://dx.doi.org/10.3390/diagnostics13182927 |
Ejemplares similares
-
A biological plausible recurrent model of V1 hypercolumns
por: Afşar, Atahan, et al.
Publicado: (2011) -
Monochromaticity of Orientation Maps in V1 Implies Minimum Variance for Hypercolumn Size
por: Afgoustidis, Alexandre
Publicado: (2015) -
The influence of astrocytes on the width of orientation hypercolumns in visual cortex: A computational perspective
por: Philips, Ryan T., et al.
Publicado: (2017) -
Virtual fracture clinic reduces patient X-ray volume for common wrist and ankle fractures
por: O’Driscoll, Conor S., et al.
Publicado: (2021) -
Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm
por: Ju, Rui-Yang, et al.
Publicado: (2023)