Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning

Objective: Facial changes are common among nearly all acromegalic patients. As they develop slowly, patients often fail to notice such changes before they become obvious. Consequently, diagnosis and treatment are often delayed. So far, convenient and accurate early detection of this disease is still...

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Detalles Bibliográficos
Autores principales: Meng, Tian, Guo, Xiaopeng, Lian, Wei, Deng, Kan, Gao, Lu, Wang, Zihao, Huang, Jiuzuo, Wang, Xiaojun, Long, Xiao, Xing, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403213/
https://www.ncbi.nlm.nih.gov/pubmed/32849283
http://dx.doi.org/10.3389/fendo.2020.00492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403213/
https://www.ncbi.nlm.nih.gov/pubmed/32849283
http://dx.doi.org/10.3389/fendo.2020.00492

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