Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition

Abstract Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, significantly enhances the prognosis of patients. This research presents a new method for improving CRC detection using a deep learning ensemble with the Computer Aided Diagnosis (CADx). The...

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Bibliographic Details
Main Authors: Akella Subrahmanya Narasimha Raju, K. Venkatesh, B. Padmaja, CH. N. Santhosh Kumar, Pattabhi Rama Mohan Patnala, Ayodele Lasisi, Saiful Islam, Abdul Razak, Wahaj Ahmad Khan
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Colorectal Carcinoma (CRC)
Integrated CNNs
Vision Transformers
XGBoost
Ensemble models
CKHK-22 dataset
Online Access:https://doi.org/10.1038/s41598-024-81456-1
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https://doi.org/10.1038/s41598-024-81456-1

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