Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection

Yerel katalogda bu makaleye atıf yapan 41 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. 2024 Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer modelAtıf 156 · OpenAlex
2. 2024 MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detectionAtıf 143 · OpenAlex
3. 2025 A robust deep learning framework for multiclass skin cancer classificationAtıf 138 · OpenAlex
4. 2023 Deep learning-based approaches for robust classification of cervical cancerAtıf 134 · OpenAlex
5. 2024 A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI imagesAtıf 125 · OpenAlex
6. 2023 Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)Atıf 118 · OpenAlex
7. 2023 Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)Atıf 118 · OpenAlex
8. 2023 Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)Atıf 118 · OpenAlex
9. 2023 Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)Atıf 117 · OpenAlex
10. 2023 Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)Atıf 117 · OpenAlex