Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans
Authors
Keywords
-
Journal
Scientific Reports
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-07
DOI
10.1038/s41598-021-03879-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A tongue features fusion approach to predicting prediabetes and diabetes with machine learning
- (2021) Jun Li et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques
- (2021) Jun Li et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology
- (2021) Yang Xiang et al. Biomed Research International
- Human Tongue Thermography Could Be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus
- (2020) Usharani Thirunavukkarasu et al. Evidence-based Complementary and Alternative Medicine
- Feature selection and syndrome classification for rheumatoid arthritis patients with Traditional Chinese Medicine treatment
- (2020) Jingui Xie et al. European Journal of Integrative Medicine
- Early Diabetes Discovery From Tongue Images
- (2020) Safia Naveed et al. COMPUTER JOURNAL
- Predicting complications of diabetes mellitus using advanced machine learning algorithms
- (2020) Branimir Ljubic et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Multi-Task Joint Learning Model for Segmenting and Classifying Tongue Images Using a Deep Neural Network
- (2020) Qiang Xu et al. IEEE Journal of Biomedical and Health Informatics
- Machine learning assistive rapid, label-free molecular phenotyping of blood with two-dimensional NMR correlational spectroscopy
- (2020) Weng Kung Peng et al. Communications Biology
- WITHDRAWN: Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition
- (2019) Pouya Saeedi et al. DIABETES RESEARCH AND CLINICAL PRACTICE
- Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features
- (2018) Xiaoqiang Li et al. IEEE Transactions on Cybernetics
- Intelligent Diabetes Detection System Based On Tongue Datasets
- (2018) Safia Naveed et al. Current Medical Imaging Reviews
- Predicting Diabetes Mellitus With Machine Learning Techniques
- (2018) Quan Zou et al. Frontiers in Genetics
- Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images
- (2017) Jianfeng Zhang et al. Biomed Research International
- The association between arterial stiffness and tongue manifestations of blood stasis in patients with type 2 diabetes
- (2016) Po-Chi Hsu et al. BMC Complementary and Alternative Medicine
- Quantification of tongue colour using machine learning in Kampo medicine
- (2016) Tadaaki Kawanabe et al. European Journal of Integrative Medicine
- TCM tongue diagnosis index of early-stage breast cancer
- (2015) Lun-chien Lo et al. COMPLEMENTARY THERAPIES IN MEDICINE
- Multidimensional Texture Characterization: On Analysis for Brain Tumor Tissues Using MRS and MRI
- (2014) Deepa Subramaniam Nachimuthu et al. JOURNAL OF DIGITAL IMAGING
- Tongue Color Analysis for Medical Application
- (2013) Bob Zhang et al. Evidence-based Complementary and Alternative Medicine
- The Relationship between Traditional Chinese Medicine and Modern Medicine
- (2013) Jingcheng Dong Evidence-based Complementary and Alternative Medicine
- Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy Using Tongue Color, Texture, and Geometry Features
- (2013) Bob Zhang et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics
- (2013) Xingzheng Wang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started