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 ...
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 ...
Senate Health, Education, Labor and Pensions (HELP) Committee Chair Bill Cassidy, M.D., is doubling down on his scrutiny of the American Medical Association's (AMA's) handling of billing and claims ...
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 ...
Harrison.ai Launches Free Medical Imaging AI Platform with Zero Markup for Third-Party AI Algorithms
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.
SAN FRANCISCO, Oct. 30, 2025 /PRNewswire/ -- Sirona Medical today announced that it has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its Sirona Advanced Imaging Suite, marking ...
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 ...
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