Enhancing Medical Image Segmentation Performance with an Adaptive Convolution Layer

Incorporating an adaptive convolution layer ahead of leading deep learning models, such as UCTransNet, dynamically adjusts the kernel size based on the local context of the input image, enabling the network to capture relevant features at multiple scales and improve segmentation accuracy and robustness.