This project implements an end-to-end solution for automatic image colorization using a U-Net autoencoder. The model takes grayscale images as input and generates realistic colorized versions while ...

Abstract: U-Net convolutional neural networks have proved effective in accurate segmentation. However, there is a need for an objective optimization of its hyperparameters (HPs) to ensure stability ...

This study addresses these challenges by developing a computationally efficient and accurate 3D U-Net model tailored for hippocampus segmentation. The proposed approach employs a preprocessing ...

Due to a production error, there was an error regarding the affiliation for Somayeh Makouei. Instead of having affiliation 2, they should have affiliation 1 ...