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In recent years, Lung cancer diagnoses are exponentially increasing due to hazardous consumption and environmental aspects. Many modern widest types of research on lung cancer are taking places but there is a lack of efficiency in accuracy and detection. However, we need to develop a multi view aspect model of digital image processing research on Lung cancer. In this paper, we performed an Autonomous Lung Cancer Classification using deep learning techniques. Moreover, our research improves accuracy and performance with early diagnosis of patients.

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Enhancing Early Diagnosis: An Autonomous Deep Learning Approach for Multi-view Lung Cancer Classification

  • 会议论文

  • 发表日期：

    2026年

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  • P. Deepa,
  • M. Arulselvi,
  • S. Meenakshisundaram

摘要

In recent years, Lung cancer diagnoses are exponentially increasing due to hazardous consumption and environmental aspects. Many modern widest types of research on lung cancer are taking places but there is a lack of efficiency in accuracy and detection. However, we need to develop a multi view aspect model of digital image processing research on Lung cancer. In this paper, we performed an Autonomous Lung Cancer Classification using deep learning techniques. Moreover, our research improves accuracy and performance with early diagnosis of patients.