A medical research company is working on image data, where they want to classify microscopic images into cancerous and non-cancerous categories. The boundary between these categories is not linear. Which algorithm would be a strong candidate for this problem?

  • Convolutional Neural Network (CNN)
  • Logistic Regression
  • Naive Bayes Classifier
  • Principal Component Analysis
Convolutional Neural Networks (CNNs) are excellent for image classification tasks, especially when dealing with non-linear boundaries. They use convolutional layers to extract features from images, making them suitable for tasks like cancerous/non-cancerous image classification.
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