Cover Image
QR Code

TONGUE REGION BASED DISEASE PREDICTION USING DEEP LEARNING.

Now a days there is a problem and risk in detecting the tongue region based disease. The detecting of tongue region becomes is being a major and difficult tasks. The region of tongue should be separated and used to detect the disease. There is a error in detecting the disease and while separating th...

Full description

Published in:Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2574 - 2578
Main Authors: P. T., SIVAGURUNATHAN, KAVIYA, S., JOTHIPRABHA, D., NANDHINI, M.
Format: pictorial tables/charts Journal Article
Published: Turkish Journal of Physiotherapy & Rehabilitation 2021
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151006269&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 151006269
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        13008757
        YU1
      jtl: Turkish Journal of Physiotherapy Rehabilitation
      issn: 13008757
      maglogo: N
    pubinfo:
      dt: 2021
      vid: 32
      iid: 2
      pid: 20392
      pub: Turkish Journal of Physiotherapy & Rehabilitation
      place: Kizilay/ Ankara, <Blank>
    artinfo:
      ui:
        151006269
        151006269
        151006269
        151006269
      ppf: 2574
      ppct: 4
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: TONGUE REGION BASED DISEASE PREDICTION USING DEEP LEARNING.
      aug:
        au:
          P. T., SIVAGURUNATHAN
          KAVIYA, S.
          JOTHIPRABHA, D.
          NANDHINI, M.
        affil: Department of Electronics and Communication Engineering Assistant Professor, M.Kumarasamy College of Engineering Karur, Tamilnadu-639113
      sug:
        subj:
          Tongue Diseases Diagnosis
          Deep Learning Utilization
          Neural Networks (Computer)
          Tongue Physiology
          Machine Learning
          Artificial Intelligence
          Image Interpretation, Computer Assisted
          Software
          Programming Languages
          Algorithms
      ab: Now a days there is a problem and risk in detecting the tongue region based disease. The detecting of tongue region becomes is being a major and difficult tasks. The region of tongue should be separated and used to detect the disease. There is a error in detecting the disease and while separating the tongue region. In the existing system it is a difficult one to separate the mark region of the tongue. To overcome the issue, In proposed system CNN is used to diagnose disease without any issues or problem in diagnosing. Here the tongue region is separated from the tooth based region and masked tongue used to diagnose the disease. It promises in helping humans to new effective concepts of medical facilitate and reduces the risks in medical field or diagnoses.
      pubtype: Academic Journal
      doctype:
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N