Latest Articles for Medical Imaging

This study assesses the effectiveness of XAI methods in medical imaging.

New framework enhances liver fibrosis diagnosis through multi-view image analysis.

This study shows how pruning can speed up polyp segmentation in medical imaging.

New methods improve the simulation of dynamic electromagnetic materials and their applications.

Enhancing image quality through innovative neural network strategies.

A new model enhances rib fracture detection using varied data annotations.

Robotic sample holders enhance X-ray CT image quality and reduce scan times.

Researchers enhance tumor segmentation accuracy using a modified Segment Anything Model.

A new method speeds up MRI scans while maintaining image quality.

A new method boosts accuracy in medical image processing.

A new G-CNN improves 3D medical image analysis and accuracy.

New methods enhance accuracy in medical imaging using deep learning and tissue-mimicking phantoms.

New methods enhance accuracy in analyzing chest radiographs using CT data.

New methods enhance accuracy in aligning medical point clouds over time.

Innovative approaches tackle inverse problems using learning-based techniques and invertible networks.

A new method improves medical image classification while protecting patient data.

LegoNet improves image segmentation for medical scans using innovative building block techniques.

ViG-UNet combines graph neural networks and U-Net for improved medical image analysis.

Examining regularity theorems and their significance in minimal surfaces and mean curvature flows.

A new approach to training models for better handling of occluded medical images.

New study shows genetic data improves prediction of aortic enlargement risks.

A new method enhances cancer diagnosis using whole slide images and advanced learning techniques.

Discover a new method for enhanced ultrasound imaging in medical diagnostics.

New deep mesh deformation method enhances abdominal organ segmentation accuracy.

New framework improves PET image quality and uncertainty measurement.

Exploring how meaning enhances communication methods.

Exploring the benefits of polychromatic T-matrix for light interaction analysis.

A novel method enhances the accuracy of hippocampus segmentation for better treatment outcomes.

This article examines challenges in mathematical morphology for vector-valued images.

A new approach improves nuclei classification in medical imaging using self-supervised learning.

A novel approach enhances segmentation of medical images using unannotated data.

Combining quantum technology and JPEG for better image storage and sharing.

A new coil design improves MRI efficiency and flexibility.

Study examines ChatGPT’s accuracy in diagnosing complex neuroradiology cases.

LDMRes-Net offers a lightweight method for accurate retinal image segmentation.

A new method enhances knee joint area detection in medical X-rays.

Research shows optimized windowing improves accuracy in chest X-ray diagnoses.

This study evaluates few-shot learning methods in medical image classification.

Combining federated learning with differential privacy enhances medical image classification while ensuring patient data safety.

A new dataset offering real experimental CT images for machine learning research.