Artificial Intelligence-based Oral Cancer Screening System using Smartphones

被引:1
作者
Chakraborty, Parnasree [1 ]
Chandrapragasam, Tharini [1 ]
Arunachalam, Ambika [1 ]
Rafiammal, Syed [1 ]
机构
[1] BSA Crescent Inst Sci & Technol, Elect & Commun Engn, Vandalur 600048, Tamil Nadu, India
基金
美国国家卫生研究院;
关键词
oral cancer; AI; autofluorescent images; mobilenet architecture; DIAGNOSIS; EEG;
D O I
10.48084/etasr.6364
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
About one-fifth of all oral cancer cases reported globally are from India. The low-income groups in India are affected most due to the wide exposure to risk factors such as tobacco chewing and insufficient access to early diagnostic tools. Visual examination and histological study are the standard for oral cancer detection. This paper proposes the idea of using Autofluorescence-based imaging techniques to detect and classify oral cancer using AI algorithms. Various features of the images along with medical history, age, gender, and tobacco usage are considered as inputs to the proposed Mobilenet classification architecture.
引用
收藏
页码:12054 / 12057
页数:4
相关论文
共 14 条
[1]  
[Anonymous], 2015, India TV News
[2]   Classification of Dementia in EEG with a Two-Layered Feed Forward Artificial Neural Network [J].
Anuradha, G. ;
Jamal, D. Najumnissa .
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2021, 11 (03) :7135-7139
[3]  
Barot S., Oral Cancer (Lips and Tongue) images
[4]  
Chakraborty P, 2020, ENG TECHNOL APPL SCI, V10, P5769
[5]   The changing epidemiology of oral cancer: definitions, trends, and risk factors [J].
Conway, D. I. ;
Purkayastha, M. ;
Chestnutt, I. G. .
BRITISH DENTAL JOURNAL, 2018, 225 (09) :867-873
[6]   Analysis of oral lesion biopsies identified and evaluated by visual examination, chemiluminescence and toluidine blue [J].
Epstein, J. B. ;
Silverman, S., Jr. ;
Epstein, J. D. ;
Lonky, S. A. ;
Bride, M. A. .
ORAL ONCOLOGY, 2008, 44 (06) :538-544
[7]   Diagnostic aids in the screening of oral cancer [J].
Fedele, Stefano .
HEAD & NECK ONCOLOGY, 2009, 1 :5
[8]   Adjunctive techniques for oral cancer examination and lesion diagnosis - A systematic review of the literature [J].
Patton, Lauren L. ;
Epstein, Joel B. ;
Kerr, A. Ross .
JOURNAL OF THE AMERICAN DENTAL ASSOCIATION, 2008, 139 (07) :896-905
[9]  
Rafiammal SS, 2020, ENG TECHNOL APPL SCI, V10, P5803
[10]  
Sambandham T, 2013, J CLIN DIAGN RES, V7, P185, DOI [10.7860/JCDR/2012/5163.2704, 10.7860/JCDR/2012/5163:2704]