A comparative review of CNN architectures for detecting ten cancer types, summarizing advantages, disadvantages, and top performers for potential clinical use.
The background was discarded by eliminating zero-intensity pixels, and the image was refined using Otsu’s grayscale thresholding method
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The Potential of Convolutional Neural Networks for Cancer Detection
A comparative review of CNN architectures for detecting ten cancer types, summarizing advantages, disadvantages, and top performers for potential clinical use.