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A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries
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| Published in: | African Journal of Applied Research |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1870116395613683713 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | African Journal of Applied Research |
| description | |
| discipline_display | African Open Access — Technology & Engineering |
| discipline_facet | African Open Access — Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:100031 |
| institution | FRELIP |
| journal_source_facet | African Journal of Applied Research |
| last_indexed | 2026-07-08T03:39:35.081Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries African Open Access — Technology & Engineering General African Open Access — Technology & Engineering |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | African Open Access — Technology & Engineering General African Open Access — Technology & Engineering |
| subject_facet | African Open Access — Technology & Engineering General African Open Access — Technology & Engineering |
| title | A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries |
| title_alt | Un análisis comparativo de modelos de aprendizaje automático y aprendizaje profundo para la detección temprana del cáncer oral utilizando datos epidemiológicos de múltiples riesgos de varios países Analyse comparative des modèles d'apprentissage automatique et d'apprentissage profond pour la détection précoce du cancer buccal à l'aide de données épidémiologiques multi-risques de plusieurs pays Uma análise comparativa de modelos de aprendizado de máquina e aprendizado profundo para detecção precoce de câncer oral usando dados epidemiológicos de múltiplos riscos de vários países |
| title_auth | A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries |
| title_es_txt | Un análisis comparativo de modelos de aprendizaje automático y aprendizaje profundo para la detección temprana del cáncer oral utilizando datos epidemiológicos de múltiples riesgos de varios países |
| title_fr_txt | Analyse comparative des modèles d'apprentissage automatique et d'apprentissage profond pour la détection précoce du cancer buccal à l'aide de données épidémiologiques multi-risques de plusieurs pays |
| title_full | A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries |
| title_fullStr | A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries |
| title_full_unstemmed | A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries |
| title_pt_txt | Uma análise comparativa de modelos de aprendizado de máquina e aprendizado profundo para detecção precoce de câncer oral usando dados epidemiológicos de múltiplos riscos de vários países |
| title_short | A comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries |
| title_sort | a comparative analysis of machine learning and deep learning models for early oral cancer detection using multi-risk epidemiological data from multiple countries |
| topic | African Open Access — Technology & Engineering General African Open Access — Technology & Engineering |
| url | https://ajaronline.com/index.php/AJAR/article/view/1908 |