A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx

A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx

Abstract “PolynetDWTCADx” is a sophisticated hybrid model that was developed to identify and distinguish colorectal cancer. In this study, the CKHK-22 dataset, comprising 24 classes, served as the introduction. The proposed method, which combines CNNs, DWTs, and SVMs, enhances the accuracy of featur...

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Bibliographic Details
Main Authors: Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Colorectal Cancer
Discrete Wavelet transform (DWT)
Integrated CNNs
CKHK-22 datasets
Support Vector machines
Online Access:https://doi.org/10.1038/s41598-025-85156-2
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https://doi.org/10.1038/s41598-025-85156-2

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