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Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition
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 …
worldwide, significantly enhances the prognosis of patients. This research presents a new …
[HTML][HTML] Feature fusion for a robust traffic accident assistance forecasting model with deep learning
Millions of people are involved in traffic accidents each year. According to the World Health
Organization (WHO), approximately 1.19 million people experience fatal outcomes, while 20 …
Organization (WHO), approximately 1.19 million people experience fatal outcomes, while 20 …
Fractional concepts in neural networks: Enhancing activation functions
This study explores the integration of fractional calculus in neural networks by introducing
fractional order derivatives (FOD) as tunable parameters in activation functions, enabling …
fractional order derivatives (FOD) as tunable parameters in activation functions, enabling …
Uncertainty Quantification in Automated Detection of Vertebral Metastasis Using Ensemble Monte Carlo Dropout
SH Ahn, S Baek, J Park, J Kim, H Rhee… - Journal of Imaging …, 2024 - Springer
The accurate and early detection of vertebral metastases is crucial for improving patient
outcomes. Although deep-learning models have shown potential in this area, their lack of …
outcomes. Although deep-learning models have shown potential in this area, their lack of …