Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

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 ...

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 ...

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.

Abstract: The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent ...

Abstract: In the field of medical image processing, vascular image segmentation plays a crucial role in clinical diagnosis, treatment planning, prognosis, and medical decision-making. Accurate and ...

A giant python in need of urgent medical care turned a routine treatment into a dangerous struggle. This rare encounter shows the risks vets face when saving powerful reptiles. Texts about to go out ...

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).