Automatic detection of acromegaly from facial photographs using machine learning methods
<strong>Background</strong> Automatic early detection of acromegaly is theoretically possible from facial photographs, which can lessen the prevalence and increase the cure probability. <strong>Methods</strong> In this study, several popular machine learning algorithms were...
Principais autores: | Kong, X, Gong, S, Su, L, Howard, N, Kong, Y |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado em: |
Elsevier
2017
|
Registros relacionados
-
Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
por: Yanguo Kong, et al.
Publicado em: (2020-07-01) -
Automatic Detection for Acromegaly Using Hand Photographs: A Deep-Learning Approach
por: Chengbin Duan, et al.
Publicado em: (2021-01-01) -
Machine Learning Analysis of Facial Photographs for Predicting Bicuspid Aortic Valve
por: Atefeh Ghorbanzadeh, MD, et al.
Publicado em: (2024-09-01) -
Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning
por: Tian Meng, et al.
Publicado em: (2020-07-01) -
Automatic Segmentation of Facial Regions of Interest and Stress Detection Using Machine Learning
por: Daniel Jaramillo-Quintanar, et al.
Publicado em: (2023-12-01)