Latest Articles for Medical Imaging

Exploring the effects of temperature and noise on quantum devices.

Revolutionizing patient scans with gesture recognition technology for improved accuracy.

DeepLabv3++ model improves accuracy in colorectal cancer screening.

A look at how CR environments enhance data interaction and understanding.

GSN combines dictionary learning and graph techniques for improved medical image classification.

Exploring new methods in medical image registration and their effectiveness.

Study shows that detailed brain scans can better predict language recovery post-stroke.

A detailed look at improving blurry and noisy images across various fields.

Research shows active learning enhances AI's ability to detect eye diseases in OCTA images.

A new method improves 3D semantic segmentation by integrating 2D techniques.

A two-phase method enhances accuracy in heart image analysis.

AI models improve early detection of lung cancer through advanced imaging techniques.

Researchers enhance fetal ultrasound accuracy using synthetic images and machine learning.

A look into the Steklov problem and its impact on various fields.

A look at the behavior of electromagnetic waves in unique materials.

Researchers utilize Fugaku to speed up MRI data analysis.

Exploring how dataset diversity impacts deep learning model performance.

A new approach enhances consistency in MRI images from different sources.

A fresh approach to measuring magnetic noise improves accuracy in sensitive systems.

Examining the challenges of fairness in AI for medical imaging.

A non-invasive technique captures real-time tissue stiffness changes in developing embryos.

Using UMAP to spot labeling errors in medical image datasets.

A new method enhances understanding of 3D segmentation models in healthcare.

A guide to managing uncertainties in medical image segmentation for better diagnosis.

A new framework improves WSI classification by incorporating spatial context.

A web-based tool making image analysis accessible for scientists without programming skills.

Analyzing how training datasets affect AI fairness in skin lesion diagnosis.

MSA Net improves accuracy in medical image segmentation using innovative techniques.

New techniques improve medical imaging using Electrical Impedance Tomography.

dlordinal simplifies deep learning for ordinal classification tasks.

New techniques enhance tracking of tumor changes during chemotherapy for ovarian cancer.

A new method enhances ultrasound imaging for artery and vein identification.

A self-supervised approach improves landmark detection with few labeled x-ray images.

Exploring materials' properties through innovative scattering methods and imaging techniques.

Study links blood flow forces to heart damage in atrial fibrillation patients.

A new method improves accuracy in medical image segmentation with fewer labeled images.

A new method improves brain MRI analysis using self-supervised techniques.

SFTD improves shape comparisons in computer vision, enhancing accuracy and reliability.

New techniques improve brain imaging for enhanced understanding of connectivity.

A new approach to downsampling binary images while maintaining topology.