Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization

Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization

The complexity and variability of medical imaging continue to impair the feasibility of early detection of colorectal cancer, despite its critical role in improving patient outcomes. This research presents a new multistage ensemble method that combines the strengths of three advanced deep learning m...

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Bibliographic Details
Main Authors: Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Enter colorectal cancer detection
deep learning ensemble
RDV-22
BiLSTM
vision transformers
LIME visualization
Online Access:https://ieeexplore.ieee.org/document/10849566/
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https://ieeexplore.ieee.org/document/10849566/

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