Unsupervised Scoliosis Diagnosis via a Joint Recognition Method with Multifeature Descriptors and Centroids Extraction

To solve the problem of scoliosis recognition without a labeled dataset, an unsupervised method is proposed by combining the cascade gentle AdaBoost (CGAdaBoost) classifier and distance regularized level set evolution (DRLSE). The main idea of the proposed method is to establish the relationship bet...

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Detalles Bibliográficos
Autores principales: Zhang, Liyuan, Zhao, Jiashi, Yang, Huamin, Jiang, Zhengang, Li, Qingliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176329/
https://www.ncbi.nlm.nih.gov/pubmed/30356395
http://dx.doi.org/10.1155/2018/6213264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176329/
https://www.ncbi.nlm.nih.gov/pubmed/30356395
http://dx.doi.org/10.1155/2018/6213264

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