Abstract: Deep neural network (DNN)-based image segmentation has the endemic problems caused by iterative sampling, i.e., inaccurate and uncertain boundaries. On the other hand, conventional image ...

By breaking an image into smaller groups called “image segments,” an image segmentation ... based U-NET technique was used to find extrapolation-based reconstructions for alloys, porous media, and ...

Neural networks are powerful tools for processing visual inputs ... function of recurrent connections in biological visual systems. We study image segmentation using spatiotemporal dynamics in a ...

This paper proposes an end-to-end trained fully convolutional neural network model to process 3D image ... using the Dice coefficient is proposed to be optimized, and the authors demonstrate the fast ...

Introduction: The field of machine learning has undergone a significant transformation with the progress of deep artificial neural ... in SNN networks and conduct an empirical evaluation of their ...