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Cancer Detection in Digital Image Using Machine Learning Algorithms

  • Yaser Darkaleh,
  • Mahta Sadat Mirzazadeh Tekieh,
  • Sima Aboulhassani Khajeh

摘要

Every day, a large amount of medical data is being produced in hospitals and medical centers. Using this data to analyze the results can save treatment costs for both patients and the government. Therefore, it is very important to collect medical data about various diseases as well as their appropriate and correct analysis. In recent years, the use of machine learning algorithms to extract and identify patterns from various diseases, including in cancer research, which is a significant challenge for humans with high morbidity and mortality, has attracted much attention. In this article, several machine learning algorithms are employed for cancer detection on UCI standard data. The obtained results show the appropriate accuracy of the proposed method.