Cargando…
Hybrid Deep Learning Approach for Automatic Detection in Musculoskeletal Radiographs
SIMPLE SUMMARY: Musculoskeletal disorder is affecting a large population globally and is becoming one of the foremost health concerns. The treatment is often expensive and may cause a severe problem in the case of misdiagnosis. Therefore, a reliable, fast, and inexpensive automatic recognition syste...
Autores principales: | Singh, Gurpreet, Anand, Darpan, Cho, Woong, Joshi, Gyanendra Prasad, Son, Kwang Chul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138246/ https://www.ncbi.nlm.nih.gov/pubmed/35625393 http://dx.doi.org/10.3390/biology11050665 |
Ejemplares similares
-
Automatic Detection of Mandibular Fractures in Panoramic Radiographs Using Deep Learning
por: Son, Dong-Min, et al.
Publicado: (2021) -
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
por: Jones, Rebecca M., et al.
Publicado: (2020) -
A calibrated deep learning ensemble for abnormality detection in musculoskeletal radiographs
por: He, Minliang, et al.
Publicado: (2021) -
Automatic classification of canine thoracic radiographs using deep learning
por: Banzato, Tommaso, et al.
Publicado: (2021) -
Automatic detection of COVID-19 from chest radiographs using deep learning
por: Pandit, M.K., et al.
Publicado: (2021)