Assessment of the association of deep features with a polynomial algorithm for automated oral epithelial dysplasia grading-Reference-Cited by-同舟云学术

Assessment of the association of deep features with a polynomial algorithm for automated oral epithelial dysplasia grading

Published:2022-10-24 Issue: Volume: Page:
ISSN:
Container-title:2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
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Author:

Silva Adriano B.¹,De Oliveira Cleber I.²,Pereira Danilo C.³,Tosta Thaina A. A.⁴,Martins Alessandro S.³,Loyola Adriano M.⁵,Cardoso Sergio V.⁵,De Faria Paulo R.⁶,Neves Leandro A.²,Do Nascimento Marcelo Z.¹

Affiliation:

1. Federal University of Uberlândia (UFU),Faculty of Computer Science (FACOM)

2. São Paulo State University (UNESP),Department of Computer Science and Statistics (DCCE)

3. Federal Institute of Triângulo Mineiro (IFTM)

4. Federal University of São Paulo (UNIFESP),Science and Technology Institute

5. Federal University of Uberlândia (UFU),Area of Oral Pathology, School of Dentistry

6. Federal University of Uberlândia (UFU),Institute of Biomedical Science,Department of Histology and Morphology

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

EMI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9991741/9991742/09991758.pdf?arnumber=9991758

Reference29 articles.

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4. Oral Epithelial Dysplasia Computer Aided Diagnostic Approach

5. Automated classification of oral premalignant lesions using image cytometry and Random Forests-based algorithms

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