Neural network approaches for early breast cancer detection

HIGHLIGHTS

• What: This study investigates the application of neural network techniques to enhance early breast cancer utilizing Artificial Neural Networks (ANN) implemented in MATLAB. By analyzing datasets from the UCI Machine Learning Repository specifically the Coimbra and Wisconsin Breast Cancer datasets this research shows the accuracy and efficiency of neural networks in classifying malignant and benign cases. The result showed the following: www.eujournal.org ISSN: 1857-7881 (Print) e - ISSN 1857-7431 Before delving into the analysis, it`s important to reiterate the ultimate objective of this pattern_recognition endeavor: to distinguish between laboratory results belonging to breast . . .
  

   

  

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