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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Kong, X, Gong, S, Su, L, Howard, N, Kong, Y
Format:	Journal article
Język:	English
Wydane:	Elsevier 2017

Podobne zapisy

Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
od: Yanguo Kong, i wsp.
Wydane: (2020-07-01)

Automatic Detection for Acromegaly Using Hand Photographs: A Deep-Learning Approach
od: Chengbin Duan, i wsp.
Wydane: (2021-01-01)

Machine Learning Analysis of Facial Photographs for Predicting Bicuspid Aortic Valve
od: Atefeh Ghorbanzadeh, MD, i wsp.
Wydane: (2024-09-01)

Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning
od: Tian Meng, i wsp.
Wydane: (2020-07-01)

Automatic Segmentation of Facial Regions of Interest and Stress Detection Using Machine Learning
od: Daniel Jaramillo-Quintanar, i wsp.
Wydane: (2023-12-01)

Photographic assessment of facial components in facial esthetics as perceived by orthodontists, artists, and photographers – An In vivo study
od: Khaniya Bharathan, i wsp.
Wydane: (2022-01-01)

Automatic photograph recognition
od: Komathi Maturaveeran
Wydane: (2016)

Training machine learning algorithms for automatic facial coding: The role of emotional facial expressions' prototypicality.
od: Björn Büdenbender, i wsp.
Wydane: (2023-01-01)

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

Detecting Body Mass Index from a Facial Photograph in Lifestyle Intervention
od: Makenzie L. Barr, i wsp.
Wydane: (2018-08-01)

3D Facial Analysis in Acromegaly: Gender-Specific Features and Clinical Correlations
od: Xiaopeng Guo, i wsp.
Wydane: (2018-11-01)

Acromegaly
od: Muhammad Asghar
Wydane: (2004-06-01)

Acromegaly
od: Chanson Philippe, i wsp.
Wydane: (2008-06-01)

Using deep learning to predict ideology from facial photographs: expressions, beauty, and extra-facial information
od: Stig Hebbelstrup Rye Rasmussen, i wsp.
Wydane: (2023-03-01)

Accuracy of Facial Soft Tissue Measurements Using Photographic Analysis Method
od: Faisal Arshad, i wsp.
Wydane: (2024-01-01)

Automatic Facial Palsy Diagnosis as a Classification Problem Using Regional Information Extracted from a Photograph
od: Gemma S. Parra-Dominguez, i wsp.
Wydane: (2022-06-01)

Deep Learning for Automatic Colorization of Legacy Grayscale Aerial Photographs
od: Quentin Poterek, i wsp.
Wydane: (2020-01-01)

Automatic Facial Palsy Detection—From Mathematical Modeling to Deep Learning
od: Eleni Vrochidou, i wsp.
Wydane: (2023-11-01)

Automatic Interpretation of Multispectral Aerial Photographs
od: Karl-Rudolf Koch
Wydane: (2020-01-01)

Automatic Detection of Facial Midline And Its Contributions To Facial Feature Extraction
od: Wataru Ohyama, i wsp.
Wydane: (2007-07-01)

Modern methods of medical treatment of acromegaly
od: V. S. Pronin, i wsp.
Wydane: (2020-01-01)

Evaluation of Automatic Facial Wrinkle Detection Algorithms
od: Remah Mutasim Elbashir, i wsp.
Wydane: (2020-04-01)

ADFAC: Automatic detection of facial articulatory features
od: Saurabh Garg, i wsp.
Wydane: (2020-01-01)

Facial Recognition in Historical Photographs with Artificial Intelligence in Python
od: Charles Goldberg, i wsp.
Wydane: (2024-10-01)

Forensic Analysis of Sexual Dimorphism from Facial Photographs
od: Prachi Panwar, i wsp.
Wydane: (2024-09-01)

Acromegaly and hypertension
od: WANG Shu-chang, ZHU Hui-juan, PAN Hui
Wydane: (2021-09-01)

The Endothelium in Acromegaly
od: Pietro Maffei, i wsp.
Wydane: (2019-07-01)

ACROMEGALY AND TEETH
od: Mihaela Jana Tuculina, i wsp.
Wydane: (2022-03-01)

The acromegaly lipodystrophy
od: Pamela U. Freda
Wydane: (2022-09-01)

Pregnancy in acromegaly
od: Bashir A. Laway
Wydane: (2015-12-01)

NEOPLASMS IN ACROMEGALY
od: I. D. Chikh, i wsp.
Wydane: (2017-01-01)

Acromegaly in pregnancy
od: T George Koshy, i wsp.
Wydane: (2012-01-01)

A Review of Automatic Pain Assessment from Facial Information Using Machine Learning
od: Najib Ben Aoun
Wydane: (2024-06-01)

Facial mimicry is independent of stimulus format: Evidence for facial mimicry of stick figures and photographs
od: Janet Wessler, i wsp.
Wydane: (2021-02-01)

HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images
od: Jiewei Jiang, i wsp.
Wydane: (2024-02-01)

Acromegaly with normal pituitary MRI
od: L. D. Ranasinghe, i wsp.
Wydane: (2015-08-01)

Accuracy and Reproducibility of Facial Measurements of Digital Photographs and Wrapped Cone Beam Computed Tomography (CBCT) Photographs
od: Maged Sultan Alhammadi, i wsp.
Wydane: (2021-04-01)

Guidelines for acromegaly management.
od: Melmed, S, i wsp.
Wydane: (2002)

Analysis of Sasang constitutional types using facial features with compensation for photographic distance
od: Jun-Hyeong Do, i wsp.
Wydane: (2012-12-01)

Photogrammetric reliability of frontal facial photographs with radiographs and anthropometric measurements
od: Gunjan Negi, i wsp.
Wydane: (2019-07-01)