This is a masters level dissertation that requires implement UNET and training datasets to evaluate the effectiveness of loss functions in identifying curvilinear images
Write an Analysis and Comparison of Loss Functions in Deep Convolutional Neural Networks for Computer Vision Tasks on Data Containing Curvilinear Structures such as Surface Cracks, Blood Vessels, and Cellular Boundaries.