Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
Maha Sharkas,
Omneya Attallah
Abstract:Colorectal cancer (CRC) exhibits a significant death rate that consistently impacts human lives worldwide. Histopathological examination is the standard method for CRC diagnosis. However, it is complicated, time-consuming, and subjective. Computer-aided diagnostic (CAD) systems using digital pathology can help pathologists diagnose CRC faster and more accurately than manual histopathology examinations. Deep learning algorithms especially convolutional neural networks (CNNs) are advocated for diagnosis of CRC. … Show more
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