A survey of artificial intelligence in tongue image for disease diagnosis and syndrome differentiation

Q Liu, Y Li, P Yang, Q Liu, C Wang, K Chen… - Digital …, 2023 - journals.sagepub.com
The rapid development of artificial intelligence technology has gradually extended from the
general field to all walks of life, and intelligent tongue diagnosis is the product of a …

A multi-step approach for tongue image classification in patients with diabetes

J Li, J Huang, T Jiang, L Tu, L Cui, J Cui, X Ma… - Computers in Biology …, 2022 - Elsevier
Abstract Background In China, diabetes is a common, high-incidence chronic disease.
Diabetes has become a severe public health problem. However, the current diagnosis and …

A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine

X Zhang, Z Chen, J Gao, W Huang, P Li… - Knowledge-based …, 2022 - Elsevier
People are deepening the study on model explainability as well as performance to better
understand models' decisions from the human perspective. However, the lack of rare clinical …

A Systematic Review on Detection of Gastric Cancer in Endoscopic Imaging System in Artificial Intelligence Applications

K Pooja, R Kishore Kanna - … Conference on Data & Information Sciences, 2023 - Springer
Artificial intelligence and disease detection go hand in hand. Convolutional neural networks,
a significant area of artificial intelligence applications, are crucial in the detection of stomach …

GestroNet: a framework of saliency estimation and optimal deep learning features based gastrointestinal diseases detection and classification

MA Khan, N Sahar, WZ Khan, M Alhaisoni, U Tariq… - Diagnostics, 2022 - mdpi.com
In the last few years, artificial intelligence has shown a lot of promise in the medical domain
for the diagnosis and classification of human infections. Several computerized techniques …

Construction of tongue image-based machine learning model for screening patients with gastric precancerous lesions

C Ma, P Zhang, S Du, Y Li, S Li - Journal of Personalized Medicine, 2023 - mdpi.com
Screening patients with precancerous lesions of gastric cancer (PLGC) is important for
gastric cancer prevention. The accuracy and convenience of PLGC screening could be …

[HTML][HTML] Establishing and validating a spotted tongue recognition and extraction model based on multiscale convolutional neural network

P Chengdong, W Li, J Dongmei, Y Nuo… - Digital Chinese …, 2022 - Elsevier
Objective In tongue diagnosis, the location, color, and distribution of spots can be used to
speculate on the viscera and severity of the heat evil. This work focuses on the image …

Development of an artificial intelligent model for pre-endoscopic screening of precancerous lesions in gastric cancer

L Wang, Q Zhang, P Zhang, B Wu, J Chen, J Gong… - Chinese Medicine, 2024 - Springer
Background Given the high cost of endoscopy in gastric cancer (GC) screening, there is an
urgent need to explore cost-effective methods for the large-scale prediction of precancerous …

Diagnosis of gastric cancer in role of endoscopic imaging techniques in artificial intelligence and machine learning applications: An overview

K Pooja - E3S Web of Conferences, 2024 - e3s-conferences.org
Gastric cancer is a serious medical issue because its occurrence and death rates are
increasing all over the world. Furthermore, obesity, tobacco use, alcohol consumption, and a …

A framework to predict gastric cancer based on tongue features and deep learning

X Zhu, Y Ma, D Guo, J Men, C Xue, X Cao, Z Zhang - Micromachines, 2022 - mdpi.com
Gastric cancer has become a global health issue, severely disrupting daily life. Early
detection in gastric cancer patients and immediate treatment contribute significantly to the …