Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods

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...

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Bibliographic Details
Main Authors: Xiangyi Kong, Shun Gong, Lijuan Su, Newton Howard, Yanguo Kong
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:EBioMedicine
Subjects:
Automatic acromegaly diagnosis
Artificial intelligence
Machine learning
Face recognition
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396417304966

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http://www.sciencedirect.com/science/article/pii/S2352396417304966

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