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...
Главные авторы: | Kong, X, Gong, S, Su, L, Howard, N, Kong, Y |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
Elsevier
2017
|
Схожие документы
-
Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
по: Yanguo Kong, и др.
Опубликовано: (2020-07-01) -
Machine Learning Analysis of Facial Photographs for Predicting Bicuspid Aortic Valve
по: Atefeh Ghorbanzadeh, MD, и др.
Опубликовано: (2024-09-01) -
Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning
по: Tian Meng, и др.
Опубликовано: (2020-07-01) -
Automatic Segmentation of Facial Regions of Interest and Stress Detection Using Machine Learning
по: Daniel Jaramillo-Quintanar, и др.
Опубликовано: (2023-12-01) -
Photographic assessment of facial components in facial esthetics as perceived by orthodontists, artists, and photographers – An In vivo study
по: Khaniya Bharathan, и др.
Опубликовано: (2022-01-01)