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Stacker on MSNHow artificial intelligence is transforming medical imagingVivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...
Three-dimensional (3D) reconstruction is of great significance to the research of spatial structure and physical properties of porous media. In this paper, we propose a kind of new 3D reconstruction ...
Reconstruction of images in electrical impedance tomography requires the solution of a nonlinear inverse problem. This work presents a RBF neural network image reconstruction method trained by the ...
3D content creation is a core task in computer graphics, with numerous algorithms developed over the years to model 3D shapes from 2D images or curves. These methods allow designers to create 3D ...
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Space.com on MSNAstronomy has a major data problem – simulating realistic images of the sky can help train algorithmsPhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...
By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.
Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...
A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.
Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...
With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.
We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...
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