Cargando…
COMPUTATIONAL ANALYSIS BASED ON ARTIFICIAL NEURAL NETWORKS FOR AIDING IN DIAGNOSING OSTEOARTHRITIS OF THE LUMBAR SPINE
Objective: To ascertain the advantages of applying artificial neural networks to recognize patterns on lumbar spine radiographies in order to aid in the process of diagnosing primary osteoarthritis. Methods: This was a cross-sectional descriptive analytical study with a quantitative approach and an...
Autores principales: | Veronezi, Carlos Cassiano Denipotti, de Azevedo Simões, Priscyla Waleska Targino, dos Santos, Robson Luiz, da Rocha, Edroaldo Lummertz, Meláo, Suelen, de Mattos, Merisandra Côrtes, Cechinel, Cristian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799207/ https://www.ncbi.nlm.nih.gov/pubmed/27027010 http://dx.doi.org/10.1016/S2255-4971(15)30239-1 |
Ejemplares similares
-
Classification of Images Acquired with Colposcopy Using Artificial Neural Networks
por: Simões, Priscyla W, et al.
Publicado: (2014) -
Influence of anxiety and depression symptoms on the quality of life in patients undergoing lumbar spine surgery()
por: Netto, Martins Back, et al.
Publicado: (2017) -
Relationship of joint hypermobility with low Back pain and lumbar spine osteoarthritis
por: Goode, Adam P., et al.
Publicado: (2019) -
NetDecoder: a network biology platform that decodes context-specific biological networks and gene activities
por: da Rocha, Edroaldo Lummertz, et al.
Publicado: (2016) -
Bioprinting of Adult Dorsal Root Ganglion (DRG) Neurons Using Laser-Induced Side Transfer (LIST)
por: Roversi, Katiane, et al.
Publicado: (2021)