Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

Abstract Due to acromegaly’s insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and treatment difficulty. A convenient screening method is imperative. Based on our previous work, we herein developed a new automatic diagnosis and severity-classif...

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Bibliographic Details
Main Authors: Yanguo Kong, Xiangyi Kong, Cheng He, Changsong Liu, Liting Wang, Lijuan Su, Jun Gao, Qi Guo, Ran Cheng
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Journal of Hematology & Oncology
Subjects:
Severity-classification model
Acromegaly
Facial photographs
Deep learning
Online Access:http://link.springer.com/article/10.1186/s13045-020-00925-y

Internet

http://link.springer.com/article/10.1186/s13045-020-00925-y

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