Developing tongue coating status assessment using image recognition with deep learning.

Journal: Journal of prosthodontic research

Published Date: Sep 28, 2023

PURPOSE: To build an image recognition network to evaluate tongue coating status.

Jumpei Okawa

Division of Comprehensive Prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Kazuhiro Hori

Division of Comprehensive Prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Hiromi Izuno

Department of Oral Health Sciences, Faculty of Nursing and Health Care, BAIKA Women's University, Ibaraki, Japan.
Masayo Fukuda

Department of Oral Health Science, Faculty of Health Science, Kobe Tokiwa University, Kobe, Japan.
Takako Ujihashi

Division of Comprehensive Prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Shohei Kodama

Division of Comprehensive Prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Tasuku Yoshimoto

Division of Comprehensive Prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Rikako Sato

Division of Comprehensive Prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
Takahiro Ono

Division of Comprehensive Prosthodontics, Faculty of Dentistry & Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.

Aged Aged, 80 and over Deep Learning Female Humans Image Processing, Computer-Assisted Male Tongue

View on PubMed Access via DOI PubMed (37766551)