A Hybrid Lightweight Deep Learning Framework for Colorectal Cancer Detection Using an Adaptive Gated Feature Fusion and Grid Search-Based Hyperparameter Optimization.
The timely and precise diagnosis of colorectal cancer is a critical area for enhancing the quality of care for patients, which could lead to better outcomes. Despite the fact that deep learning has demonstrated great potential in the field of histopathological image analysis, the accuracy of models can be influenced by...