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This study presents an innovative method for managing oral health by utilizing finely tuned transfer learning models to classify various oral infections. It investigates incorporating advanced machine learning methods to improve diagnostic precision and simplify treatment plans for a range of oral health concerns. Through a methodical assessment of transfer learning techniques such as refining and extracting features, this investigation seeks to transform the categorization of oral infections, providing a more accurate and effective structure for dental professionals. The results of this research not only add value to oral healthcare but also lay the groundwork for creating intelligent diagnostic instruments that could greatly enhance patient results and care standards.

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Automated Prediction of Multiple Types of Oral Infections with Transfer Learning Models

  • 会议论文

  • 发表日期：

    2025年

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  • Sheshang Degadwala,
  • Rocky Upadhyay,
  • Shivam Upadhyay,
  • Dhairya Vyas,
  • Bhasha Anjaria,
  • Bhumi Shah

摘要

This study presents an innovative method for managing oral health by utilizing finely tuned transfer learning models to classify various oral infections. It investigates incorporating advanced machine learning methods to improve diagnostic precision and simplify treatment plans for a range of oral health concerns. Through a methodical assessment of transfer learning techniques such as refining and extracting features, this investigation seeks to transform the categorization of oral infections, providing a more accurate and effective structure for dental professionals. The results of this research not only add value to oral healthcare but also lay the groundwork for creating intelligent diagnostic instruments that could greatly enhance patient results and care standards.