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

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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Bibliographic Details
Main Authors: Tian Meng, Xiaopeng Guo, Wei Lian, Kan Deng, Lu Gao, Zihao Wang, Jiuzuo Huang, Xiaojun Wang, Xiao Long, Bing Xing
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Endocrinology
Subjects:
acromegaly
three-dimensional imaging
machine learning
facial changes
early detection
prediction
Online Access:https://www.frontiersin.org/article/10.3389/fendo.2020.00492/full

Internet

https://www.frontiersin.org/article/10.3389/fendo.2020.00492/full

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