Meryem Souaidi

According to our database, Meryem Souaidi authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Advancements in Polyp Detection: A Developed Single Shot Multibox Detector Approach.

Mohamed Achraf Belabbes, Yassine Oukdach, Meryem Souaidi, Lahcen Koutti, Said Charfi

IEEE Access, 2024

AttDenseUnet : Segmentation of Polyps from Colonoscopic Images Based on Attention-DenseNet-Unet Architecture.

Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti, Zakaria Kerkaou, Meryem Souaidi

Proceedings of the 11th International Conference on Wireless Networks and Mobile Communications, 2024

VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities.

Zakaria Kerkaou, Yassine Oukdach, Mohamed El Ansari, Lahcen Koutti, Samira Lafraxo, Meryem Souaidi

Proceedings of the 11th International Conference on Wireless Networks and Mobile Communications, 2024

2023

GP-SSD: Real-Time Automatic Detection of Polyp Diseases from Gastrointestinal Endoscopic Images.

Meryem Souaidi, Mohamed El Ansari, Lahcen Koutti, Mouna Salihoun

Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

2022

A New Automated Polyp Detection Network MP-FSSD in WCE and Colonoscopy Images Based Fusion Single Shot Multibox Detector and Transfer Learning.

Meryem Souaidi, Mohamed El Ansari

IEEE Access, 2022

Convolutional Neural Network for Automated Colorectal Polyp Semantic Segmentation on Colonoscopy Frames.

Hamza Benhida, Meryem Souaidi, Mohamed El Ansari

Proceedings of the 9th International Conference on Wireless Networks and Mobile Communications, 2022

2019

Multi-scale completed local binary patterns for ulcer detection in wireless capsule endoscopy images.

Meryem Souaidi, Abdelkaher Ait Abdelouahad, Mohamed El Ansari

Multim. Tools Appl., 2019

Multi-scale analysis of ulcer disease detection from WCE images.

Meryem Souaidi, Mohamed El Ansari

IET Image Process., 2019

2017

A fully automated ulcer detection system for wireless capsule endoscopy images.

Meryem Souaidi, Abdelkaher Ait Abdelouahad, Mohamed El Ansari

Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017