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...

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Detalles Bibliográficos
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:
Original Article
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

Internet

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

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