14 citations · 19 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 14 cited
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification
Faeze Gholamian Khah, Samaneh Mostafapour, Seyedjafar Shojaerazavi +2
This study aimed to evaluate the performance of a novel unsupervised deep learning-based framework for automated infections lesion segmentation from CT images of Covid patients. In…
eess.IV2021★ 5 cited
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients
Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh +4
Automated semantic image segmentation is an essential step in quantitative image analysis and disease diagnosis. This study investigates the performance of a deep learning-based mo…