5 papers · 1 filter
An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images
Abdullah Naziba, Clinton Fookes, Dimitri Perrin
We developed a generative patch based 3D image registration model that can register very high resolution images obtained from a biochemical process name tissue clearing. Tissue cle…
Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
Md Rakibul Islam, Riad Hassan, Abdullah Nazib +3
Deep learning has achieved remarkable accuracy in medical image segmentation, particularly for larger structures with well-defined boundaries. However, its effectiveness can be cha…
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation
Abdullah Nazib, Riad Hassan, Zahidul Islam +1
Organ at risk (OAR) segmentation in computed tomography (CT) imagery is a difficult task for automated segmentation methods and can be crucial for downstream radiation treatment pl…
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration
Abdullah Nazib, Clinton Fookes, Olivier Salvado +1
The recent application of deep learning technologies in medical image registration has exponentially decreased the registration time and gradually increased registration accuracy w…
Dense Deformation Network for High Resolution Tissue Cleared Image Registration
Abdullah Nazib, Clinton Fookes, Dimitri Perrin
The recent application of deep learning in various areas of medical image analysis has brought excellent performance gains. In particular, technologies based on deep learning in me…