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Cancer is one of the most dreadful illnesses that plague mankind. The illness has a high mortality rate. There are numerous kinds of this illness. It is challenging to identify these diseases in their early stages. Recent studies have shown the significance of Machine Learning and Deep Learning techniques in disease diagnosis. The most promising methods are presented in this study employing several machine learning and deep learning algorithms and their comparative study to determine the specific type of cancer sickness that a patient has. Additionally, it offers the most effective models for each disease type currently in use analyzed using Accuracy and AUC ROC metrics.

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Comparative Study of Machine Learning and Deep Learning Techniques for Cancer Disease Detection

  • 会议论文

  • 发表日期：

    2025年

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  • Rajitha Ala,
  • Leema Nelson,
  • Muktha Jagdish,
  • Vasantha Sandhya Venu

摘要

Cancer is one of the most dreadful illnesses that plague mankind. The illness has a high mortality rate. There are numerous kinds of this illness. It is challenging to identify these diseases in their early stages. Recent studies have shown the significance of Machine Learning and Deep Learning techniques in disease diagnosis. The most promising methods are presented in this study employing several machine learning and deep learning algorithms and their comparative study to determine the specific type of cancer sickness that a patient has. Additionally, it offers the most effective models for each disease type currently in use analyzed using Accuracy and AUC ROC metrics.