The triggering receptor expressed on myeloid cells 2 (TREM2) plays a pivotal role in the activation of myeloid cells and is ...

In this work it is presented, described and tested a new Matlab Graphic User Interface (GUI) for image segmentation of degraded images using two probabilistic techniques, Markov random fields (MRF) ...

We employ a variety of generative adversarial networks and used their capability of image translation to perform image segmentation. The generative adversarial network is employed to translate the ...

Since the SPM12 co-registration was not perfect and a few voxels off, a second rigid registration using the FLIRT (flexible image reconstruction toolbox) MATLAB tool box (26) was applied to ...

This repository contains the source code in MATLAB for this project. One of them is a function code which can be imported from MATHWORKS. I am including it in this file for better ...

Image segmentation is of great importance in understanding and analysing objects within images. The process involves dividing vague images into meaningful and useful ones by segmenting them and ...

The algorithm has 4 main steps: Training set detection of background voxels (Step 1): A training set of background voxels is automatically detected using a Laplacian filter on the Frecuency domain.

Face detection is an important process used to extract faces from static images or video frames. In this paper, a face detection system is demonstrated using skin color segmentation algorithm.