ResNet34 UNet: Enhanced Image Segmentation with Lightweight Network

ResNet34 UNet utilizes a lightweight network structure where ResNet34 substitutes the original feature extraction layer in UNet. This model introduces a significant number of skip connections, which effectively combine deep semantic information from images, resulting in improved image segmentation accuracy. ResNet34 offers advantages such as rapid convergence, reduced training data requirements, and simplified training. These benefits effectively mitigate gradient vanishing and non-convergence issues associated with LOSS.