[HTML][HTML] A new family of instance-level loss functions for improving instance-level segmentation and detection of white matter hyperintensities in routine clinical brain …
MF Rachmadi, M Byra, H Skibbe - Computers in Biology and Medicine, 2024 - Elsevier
In this study, we introduce “instance loss functions”, a new family of loss functions designed
to enhance the training of neural networks in the instance-level segmentation and detection …
to enhance the training of neural networks in the instance-level segmentation and detection …
Improving segmentation of objects with varying sizes in biomedical images using instance-wise and center-of-instance segmentation loss function
In this paper, we propose a novel two-component loss for biomedical image segmentation
tasks called the Instance-wise and Center-of-Instance (ICI) loss, a loss function that …
tasks called the Instance-wise and Center-of-Instance (ICI) loss, a loss function that …
A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis
TS Sasikala - Biomedical Signal Processing and Control, 2024 - Elsevier
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by memory loss
and other cognitive abnormalities. In this research work, an MRI-based Computer-Aided …
and other cognitive abnormalities. In this research work, an MRI-based Computer-Aided …
White Matter Hyperintensities Segmentation Using Probabilistic TransUNet
MND Eldianto, MF Rachmadi… - … on Computer Science …, 2023 - ieeexplore.ieee.org
White Matter Hyperintensities (WMH) are areas of the brain that have a higher intensity than
other normal brain regions on Magnetic Resonance Imaging (MRI) scans. WMH is often …
other normal brain regions on Magnetic Resonance Imaging (MRI) scans. WMH is often …