<ul><li>Convolutional Neural Networks (CNNs) have emerged as a powerful tool for analyzing and classifying medical images in cancer detection.</li><li>This paper reviews recent studies on CNN models for detecting ten different types of cancer using diverse datasets.</li><li>The paper compares and analyzes the performance and strengths of different CNN architectures in improving early detection.</li><li>The study explores the feasibility of integrating CNNs into clinical settings as an early detection tool for cancer.</li></ul>

The Potential of Convolutional Neural Networks for Cancer Detection

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