Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform

Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform

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 digita...

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Bibliographic Details
Main Authors: Maha Sharkas, Omneya Attallah
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Colorectal cancer
Convolutional neural networks (CNNs)
Deep feature extraction
Feature fusion
Transfer learning
Feature selection
Online Access:https://doi.org/10.1038/s41598-024-56820-w

Internet

https://doi.org/10.1038/s41598-024-56820-w

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