Fourth Edition of the International Conference on Research in Applied Mathematics and Computer Science ICRAMCS 2022
 March 24-25-26, 2022
Online and Face-to-Face Conference

ICRAMCS, 4 (2022) | Proceedings ISSN: 2605-7700

Research Communication | Open Access
Volume 2022 | Communication ID 221
A Study of Brain Tumor Medical Image Segmentation Using U-net
Mahmoud Fahsi, Mahammed Nadir and Mouilah Cheikh
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
January 27, 2022
March 03, 2193
April 15, 2193

Abstract: Deep learning-based medical image segmentation is a field of computer-aided diagnosis (CADx) that focuses on extracting useful information from medical images to help clinicians make a quick and error-free diagnosis [1]. In this paper we present a brain tumor segmentation approach based on one of the most widely considered Convolutional Neural Network architecture named U-Net introduced by Ranneberger and al. [2]. The main idea is to segment the brain MRI image into three sub-regions: whole tumor, tumor core and enhancing tumor. For this we used the default hyper parameters settings [3]. ...