Samira Lafraxo

Orcid: 0000-0002-8876-3357

According to our database1, Samira Lafraxo authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
R2A-UNET: double attention mechanisms with residual blocks for enhanced MRI image segmentation.
Multim. Tools Appl., August, 2025

SEDARU-net: a squeeze-excitation dilated based residual U-Net with attention mechanism for automatic melanoma lesion segmentation.
Multim. Tools Appl., June, 2025

MLFE-UNet: Multi-Level Feature Extraction Transformer-Based UNet for Gastrointestinal Disease Segmentation.
Int. J. Imaging Syst. Technol., January, 2025

2024
A new hybrid approach for pneumonia detection using chest X-rays based on ACNN-LSTM and attention mechanism.
Multim. Tools Appl., September, 2024

Computer-aided system for bleeding detection in WCE images based on CNN-GRU network.
Multim. Tools Appl., 2024

AttDenseUnet : Segmentation of Polyps from Colonoscopic Images Based on Attention-DenseNet-Unet Architecture.
Proceedings of the 11th International Conference on Wireless Networks and Mobile Communications, 2024

VGG16U-Net with Attention Based Semantic Segmentation of Gastrointestinal Abnormalities.
Proceedings of the 11th International Conference on Wireless Networks and Mobile Communications, 2024

2023
GastroSegNet: Polyp Segmentation using Colonoscopic Images Based on AttentionU-net Architecture.
Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

2022
MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images.
Multim. Tools Appl., 2022

Melanoma Lesion Recognition using Deep Convolutional Neural Network and Global Average Pooling.
Proceedings of the 5th International Conference on Advanced Communication Technologies and Networking, 2022

Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNs.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

2021
CoviNet: Automated COVID-19 Detection from X-rays using Deep Learning Techniques.
Proceedings of the 6th IEEE Congress on Information Science and Technology, 2021

2020
GastroNet: Abnormalities Recognition in Gastrointestinal Tract through Endoscopic Imagery using Deep Learning Techniques.
Proceedings of the 8th International Conference on Wireless Networks and Mobile Communications, 2020


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