Comparison of the performance of machine learning algorithms in breast cancer screening and detection: A protocol

  title={Comparison of the performance of machine learning algorithms in breast cancer screening and detection: A protocol},
  author={Zakia Salod and Yashik Singh},
  journal={Journal of Public Health Research},
Background: Breast Cancer (BC) is a known global crisis. The World Health Organization reports a global 2.09 million incidences and 627,000 deaths in 2018 relating to BC. The traditional BC screening method in developed countries is mammography, whilst developing countries employ breast self-examination and clinical breast examination. The prominent gold standard for BC detection is triple assessment: i) clinical examination, ii) mammography and/or ultrasonography; and iii) Fine Needle Aspirate… 

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