Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning-Reference-Cited by-同舟云学术

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

Published:2020-07-29 Issue: Volume:11 Page:
ISSN:1664-2392
Container-title:Frontiers in Endocrinology
language:
Short-container-title:Front. Endocrinol.

Author:

Meng Tian,Guo Xiaopeng,Lian Wei,Deng Kan,Gao Lu,Wang Zihao,Huang Jiuzuo,Wang Xiaojun,Long Xiao,Xing Bing

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Endocrinology, Diabetes and Metabolism

Reference28 articles.

1. Acromegaly pathogenesis and treatment;Melmed;J Clin Invest.,2009

2. Epidemiology of acromegaly: review of population studies;Lavrentaki;Pituitary.,2017

3. Medical progress: acromegaly;Melmed;N Engl J Med.,2006

4. The changing face of acromegaly–advances in diagnosis and treatment;Ribeiro-Oliveira;Nat Rev Endocrinol.,2012

5. Systemic complications of acromegaly: epidemiology, pathogenesis, and management;Colao;Endocr Rev.,2004

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