7 citations · 7 across the 1 of their papers we have counts for
2 papers
eess.IV2020★ 7 cited
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study
Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh +5
Amidst the ongoing pandemic, several studies have shown that COVID-19 classification and grading using computed tomography (CT) images can be automated with convolutional neural ne…
eess.IV2020
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images
Cheryl Sital, Tom Brosch, Dominique Tio +2
Automatic segmentation of anatomical structures with convolutional neural networks (CNNs) constitutes a large portion of research in medical image analysis. The majority of CNN-bas…