2024
DOI: 10.1038/s41598-024-81456-1
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Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition

Akella Subrahmanya Narasimha Raju,
K. Venkatesh,
B. Padmaja
et al.

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 method involves combining pre-trained convolutional neural network (CNN) models, such as ADaRDEV2I-22, DaRD-22, and ADaDR-22, using Vision Transformers (ViT) and XGBoost. The study addresses the challenges associated with im… Show more

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