Search Results for author:
Found 6 papers, 3 papers with code
Continual atlas-based segmentation of prostate MRI
Continual learning (CL) methods designed for natural image classification often fail to reach basic quality standards for medical image segmentation.
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology
Medical imaging plays a critical role in the diagnosis and treatment planning of various medical conditions, with radiology and pathology heavily reliant on precise image segmentation.
Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation
In cardiovascular magnetic resonance imaging (CMR), respiratory motion represents a major challenge in terms of acquisition quality and therefore subsequent analysis and final diagnosis.
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts
Most continual learning methods are validated in settings where task boundaries are clearly defined and task identity information is available during training and testing.
Continual Hippocampus Segmentation with Transformers
Our evaluation on hippocampus segmentation shows that Transformer mechanisms mitigate catastrophic forgetting for medical image segmentation compared to purely convolutional architectures, and demonstrates that regularising ViT modules should be done with caution.
Quality monitoring of federated Covid-19 lesion segmentation
It is, however, crucial to continuously monitor the performance of the model.
