Abstract: Directly reconstructing 3D CT volume from few-view 2D X-rays using an end-to-end deep learning network is a challenging task, as X-ray images are merely projection views of the 3D CT volume.
New CT imaging oral contrast agent improves visualization of bowel anatomy, clinical trial data show
ROCHESTER, Minn. — In a new pilot feasibility study, researchers from Mayo Clinic, the University of Washington School of Medicine, the University of California San Francisco, and Nextrast Inc. found ...
In this video, we compute and visualize the electric field from two charges using Python, showing how to calculate field vectors and plot the results clearly. Perfect for learning electrostatics, ...
Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal gland volume on routine CT scans. This new metric, the Adrenal Volume ...
Background: Cardiac fibrosis is a key pathological form of ventricular remodeling that occurs early in heart failure. Myocardial extracellular volume fraction (ECV), measured by cardiac computed ...
Hyperliquid, Aster and Lighter have pushed decentralized perps trading volume to over $1 trillion in October, beating August’s tally with a week to spare. Decentralized perpetual trading volume is set ...
Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...
Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
Background: Magnetic resonance (MR) guided radiation therapy combines high-resolution image capabilities of MRI with the precise targeting of radiation therapy. However, MRI does not provide the ...
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