Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …

Lung image registration can effectively describe the relative motion of lung tissues, thereby
helping to solve series problems in clinical applications. Since the lungs are soft and fairly …

Given that image registration is a fundamental and ubiquitous task in both clinical and
research domains of the medical field, errors in registration can have serious consequences …

Pneumonia remains the leading infectious cause of death in children under the age of five,
killing about 700,000 children each year and affecting 7% of the world's population. X-ray …

In brain tumor resection, accurate removal of cancerous tissues while preserving eloquent
regions is crucial to the safety and outcomes of the treatment. However, intra-operative …

Image-guided neurosurgery allows surgeons to view their tools in relation to preoperatively
acquired patient images and models. To continue using neuronavigation systems …

To accurately diagnose pneumonia patients on a limited annotated chest X-ray image
dataset, a prior knowledge-based active attention network (PKA 2-Net 1) was constructed …

Medical image analysis presents a significant problem in the field of image registration.
Recently, medical image registration has been recognized as a helpful tool for medical …

Background Deformable image registration is increasingly used in radiotherapy to adapt the
treatment plan and accumulate the delivered dose. Consequently, clinical workflows using …

Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in
determining the affinity of cases to select treatment paths. This feature underscores the …