Automatic detection of acromegaly from facial photographs using machine learning methods

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...

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Bibliografiske detaljer
Main Authors:	Kong, X, Gong, S, Su, L, Howard, N, Kong, Y
Format:	Journal article
Sprog:	English
Udgivet:	Elsevier 2017

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af: Daniel Jaramillo-Quintanar, et al.
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af: Khaniya Bharathan, et al.
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Automatic photograph recognition
af: Komathi Maturaveeran
Udgivet: (2016)

Training machine learning algorithms for automatic facial coding: The role of emotional facial expressions' prototypicality.
af: Björn Büdenbender, et al.
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Detecting Body Mass Index from a Facial Photograph in Lifestyle Intervention
af: Makenzie L. Barr, et al.
Udgivet: (2018-08-01)

Structural edge detection of photographic images of rooms with machine learning
af: Yao, Xin Meng
Udgivet: (2020)

3D Facial Analysis in Acromegaly: Gender-Specific Features and Clinical Correlations
af: Xiaopeng Guo, et al.
Udgivet: (2018-11-01)

Acromegaly
af: Muhammad Asghar
Udgivet: (2004-06-01)

Acromegaly
af: Chanson Philippe, et al.
Udgivet: (2008-06-01)

Using deep learning to predict ideology from facial photographs: expressions, beauty, and extra-facial information
af: Stig Hebbelstrup Rye Rasmussen, et al.
Udgivet: (2023-03-01)

Accuracy of Facial Soft Tissue Measurements Using Photographic Analysis Method
af: Faisal Arshad, et al.
Udgivet: (2024-01-01)

Automatic Facial Palsy Diagnosis as a Classification Problem Using Regional Information Extracted from a Photograph
af: Gemma S. Parra-Dominguez, et al.
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Automatic Facial Palsy Detection—From Mathematical Modeling to Deep Learning
af: Eleni Vrochidou, et al.
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Modern methods of medical treatment of acromegaly
af: V. S. Pronin, et al.
Udgivet: (2020-01-01)

Evaluation of Automatic Facial Wrinkle Detection Algorithms
af: Remah Mutasim Elbashir, et al.
Udgivet: (2020-04-01)

Facial Recognition in Historical Photographs with Artificial Intelligence in Python
af: Charles Goldberg, et al.
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Forensic Analysis of Sexual Dimorphism from Facial Photographs
af: Prachi Panwar, et al.
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Acromegaly and hypertension
af: WANG Shu-chang, ZHU Hui-juan, PAN Hui
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The Endothelium in Acromegaly
af: Pietro Maffei, et al.
Udgivet: (2019-07-01)

ACROMEGALY AND TEETH
af: Mihaela Jana Tuculina, et al.
Udgivet: (2022-03-01)

The acromegaly lipodystrophy
af: Pamela U. Freda
Udgivet: (2022-09-01)

Pregnancy in acromegaly
af: Bashir A. Laway
Udgivet: (2015-12-01)

NEOPLASMS IN ACROMEGALY
af: I. D. Chikh, et al.
Udgivet: (2017-01-01)

Facial mimicry is independent of stimulus format: Evidence for facial mimicry of stick figures and photographs
af: Janet Wessler, et al.
Udgivet: (2021-02-01)

A Review of Automatic Pain Assessment from Facial Information Using Machine Learning
af: Najib Ben Aoun
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HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images
af: Jiewei Jiang, et al.
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Accuracy and Reproducibility of Facial Measurements of Digital Photographs and Wrapped Cone Beam Computed Tomography (CBCT) Photographs
af: Maged Sultan Alhammadi, et al.
Udgivet: (2021-04-01)

Guidelines for acromegaly management.
af: Melmed, S, et al.
Udgivet: (2002)

Analysis of Sasang constitutional types using facial features with compensation for photographic distance
af: Jun-Hyeong Do, et al.
Udgivet: (2012-12-01)

Warsaw Set of Emotional Facial Expression Pictures: A validation study of facial display photographs.
af: Michal eOlszanowski, et al.
Udgivet: (2015-01-01)

Photogrammetric reliability of frontal facial photographs with radiographs and anthropometric measurements
af: Gunjan Negi, et al.
Udgivet: (2019-07-01)

Fully automated landmarking and facial segmentation on 3D photographs
af: Bo Berends, et al.
Udgivet: (2024-03-01)

Correlation of Craniofacial Measurements between Cephalometric Radiographs and Facial Photographs
af: Warda Arif Khan, et al.
Udgivet: (2018-03-01)

The Automatic Detection of Cognition Using EEG and Facial Expressions
af: Mohamed El Kerdawy, et al.
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AUTOMATIC FACIAL REDNESS DETECTION ON FACE SKIN IMAGE
af: Izzati Muhimmah, et al.
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Acromegaly: Treatment with somatostatin analogs
af: Karavitaki, N, et al.
Udgivet: (2005)

A feature boosted deep learning method for automatic facial expression recognition
af: Tanusree Podder, et al.
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