Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...

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 ...

In this video, we use Python to compare center and edge impacts in a physics simulation. Learn how impact position affects motion, force distribution, and outcomes through clear visualizations and ...

Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

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 ...

Medical imaging, like X-rays and CT scans, are routine, non-invasive and painless tools used by doctors to make diagnoses. But a recent study of about 4 million children published in the New England ...

BOSTON & SYDNEY--(BUSINESS WIRE)--Harrison.ai today announced the Harrison.ai Open Platform, a new paradigm that eliminates platform fees and enables single-integration access to multiple AI vendors.

Introduction: Quantifying adiposity, a key biomarker of metabolic health, typically requires imaging that involves radiation, high costs, and manual effort. We developed an AI framework to segment ...