Cargando…
Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods
BACKGROUND: Automatic early detection of acromegaly is theoretically possible from facial photographs, which can lessen the prevalence and increase the cure probability. METHODS: In this study, several popular machine learning algorithms were used to train a retrospective development dataset consist...
Autores principales: | Kong, Xiangyi, Gong, Shun, Su, Lijuan, Howard, Newton, Kong, Yanguo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828367/ https://www.ncbi.nlm.nih.gov/pubmed/29269039 http://dx.doi.org/10.1016/j.ebiom.2017.12.015 |
Ejemplares similares
-
Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
por: Kong, Yanguo, et al.
Publicado: (2020) -
Neuroprotective effects of allicin on ischemia-reperfusion brain injury
por: Kong, Xiangyi, et al.
Publicado: (2017) -
Expression signatures and roles of MicroRNAs in human oesophageal adenocarcinomas
por: Kong, Xiangyi, et al.
Publicado: (2017) -
Survivin overexpression is potentially associated with pituitary adenoma invasiveness
por: Kong, Xiangyi, et al.
Publicado: (2017) -
Lack of associations of the opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) with alcohol dependence: review and meta-analysis of retrospective controlled studies
por: Kong, Xiangyi, et al.
Publicado: (2017)