Background: 3D medical image segmentation is a cornerstone for quantitative analysis and clinical decision-making in various modalities. However, acquiring high-quality voxel-level annotations is both ...

Leukemia cell detection system using advanced segmentation and a fine-tuned ResNet50 model, with a complete backend API and Streamlit-based frontend. A deep learning system that analyzes medical ...

Abstract: Foundation models for interactive segmentation in 2D natural images and videos have sparked significant interest in building 3D foundation models for medical imaging. However, the domain ...

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...

New 3D imaging solution brings Avatar Medical’s 3D visualization software and Barco’s glasses-free 3D display together, transforming the patient consultation into a shared, real-time experience. Using ...

MultiCare teams with Tellica Imaging to open three Washington outpatient centers. Centers offer flat-rate MRI/CT pricing and can produce results within hour. Facilities relieve hospital backlogs by ...

DURHAM, N.C., Oct. 14, 2025 /PRNewswire/ -- Levee Medical ®, a medical device company focused on improving outcomes for prostate cancer surgery patients, today announced that the American Medical ...

Medical imaging has long been a cornerstone of modern healthcare, enabling doctors to detect diseases, monitor progress, and guide treatments. Today, the integration of machine learning is pushing the ...

Tumor segmentation in lung CT using U-Net, U-Net++ and an augmentation-enhanced U-Net. Best validation Dice: 0.807 (MSD lung dataset).

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...