Predicting oral malodour based on the microbiota in saliva samples using a deep learning approach

被引:0
|
作者
Yoshio Nakano
Nao Suzuki
Fumiyuki Kuwata
机构
[1] Department of Chemistry,
[2] Nihon University School of Dentistry,undefined
[3] Department of Preventive and Public Health Dentistry,undefined
[4] Fukuoka Dental College,undefined
来源
BMC Oral Health | / 18卷
关键词
Oral malodour; Deep learning; Oral micorobiota;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Oral Microbiota Analysis of Tissue Pairs and Saliva Samples From Patients With Oral Squamous Cell Carcinoma - A Pilot Study
    Yang, Ke
    Wang, Yuezhu
    Zhang, Shizhou
    Zhang, Dongsheng
    Hu, Lihua
    Zhao, Tengda
    Zheng, Huajun
    FRONTIERS IN MICROBIOLOGY, 2021, 12
  • [22] Small CSI Samples-Based Activity Recognition: A Deep Learning Approach Using Multidimensional Features
    Tian, Yong
    Li, Sirou
    Chen, Chen
    Zhang, Qiyue
    Zhuang, Chuanzhen
    Ding, Xuejun
    SECURITY AND COMMUNICATION NETWORKS, 2021, 2021
  • [23] Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning
    Sharma, Priyanka
    Dadheech, Pankaj
    Aneja, Nagender
    Aneja, Sandhya
    IEEE ACCESS, 2023, 11 : 111255 - 111264
  • [24] Predicting Calamansi Fruit Yield Using CNN-Based Flower Detection: A Deep Learning Approach
    Ponce-Machete, Regine A.
    Fajardo, Arnel
    2024 21ST INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING, JCSSE 2024, 2024, : 558 - 565
  • [25] Predicting the Startup Valuation: A deep learning approach
    Dhochak, Monika
    Pahal, Sudesh
    Doliya, Prince
    VENTURE CAPITAL, 2024, 26 (01) : 75 - 99
  • [26] A Deep Learning Approach for Predicting Multiple Sclerosis
    Ponce de Leon-Sanchez, Edgar Rafael
    Dominguez-Ramirez, Omar Arturo
    Herrera-Navarro, Ana Marcela
    Rodriguez-Resendiz, Juvenal
    Paredes-Orta, Carlos
    Mendiola-Santibanez, Jorge Domingo
    MICROMACHINES, 2023, 14 (04)
  • [27] CLASSIFICATION OF MICROSCOPIC IMAGES OF UNSTAINED SKIN SAMPLES USING DEEP LEARNING APPROACH
    Rajitha, K., V
    Bhat, Sowmya
    Prakash, P. Y.
    Rao, Raghavendra
    Prasad, Keerthana
    2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022), 2022,
  • [28] Molecular Subtypes of Oral Squamous Cell Carcinoma Based on Immunosuppression Genes Using a Deep Learning Approach
    Li, Simin
    Mai, Zhaoyi
    Gu, Wenli
    Ogbuehi, Anthony Chukwunonso
    Acharya, Aneesha
    Pelekos, George
    Ning, Wanchen
    Liu, Xiangqiong
    Deng, Yupei
    Li, Hanluo
    Lethaus, Bernd
    Savkovic, Vuk
    Zimmerer, Rudiger
    Ziebolz, Dirk
    Schmalz, Gerhard
    Wang, Hao
    Xiao, Hui
    Zhao, Jianjiang
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9
  • [29] Predicting extreme floods and droughts in East Africa using a deep learning approach
    Kalpesh Ravindra Patil
    Takeshi Doi
    Swadhin K. Behera
    npj Climate and Atmospheric Science, 6
  • [30] Deep learning approach to generate offline handwritten signatures based on online samples
    Melo, Victor K. S. L.
    Dantas Bezerra, Byron Leite
    Impedovo, Donato
    Pirlo, Giuseppe
    Lundgren, Antonio
    IET BIOMETRICS, 2019, 8 (03) : 215 - 220