PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans

Author:

Bougourzi FaresORCID,Distante CosimoORCID,Dornaika FadiORCID,Taleb-Ahmed Abdelmalik

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference41 articles.

1. FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection;Abdel-Basset;Knowl.-Based Syst.,2021

2. CNR-IEMN: A deep learning based approach to recognise COVID-19 from CT-scan;Bougourzi,2021

3. Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN;Bougourzi;Sensors,2021

4. CNR-IEMN-CD and CNR-IEMN-CSD approaches for Covid-19 detection and Covid-19 severity detection from 3D CT-scans;Bougourzi,2023

5. Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans;Bougourzi;J. Imaging,2021

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