activity
20212025
most citedA novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging

20 citations · 44 across the 9 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

physics.med-ph2022★ 20 cited

A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging

Reza Karimzadeh, Emad Fatemizadeh, Hossein Arabi

Automated medical image segmentation is an essential task to aid/speed up diagnosis and treatment procedures in clinical practices. Deep convolutional neural networks have exhibite…

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…