AI techniques in medical imaging may lead to incorrect diagnoses
Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests.
May 12, 2020
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Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests.
May 12, 2020
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Normally, it takes pricey equipment and expertise to create an accurate 3-D reconstruction of someone's face that's realistic and doesn't look creepy. Now, Carnegie Mellon University researchers have pulled off the feat using ...
Apr 1, 2020
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Enrique Jiménez makes use of artificial intelligence to fill in the many tantalizing gaps in the surviving texts written on clay tablets by scribes in early urban societies 3000 years ago.
Jul 29, 2019
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Researchers have come up with a system that is bio-inspired to help drones pass through small gaps. The researchers tested their system and wrote an analysis in a paper which is published in IEEE Robotics & Automation Letters.
Deep learning models, such as those used in medical imaging to help detect disease or abnormalities, must be trained with a lot of data. However, often there isn't enough data available to train these models, or the data ...
Jul 26, 2024
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In recent years, neural methods have become widespread in camera-based reconstructions. In most cases, however, hundreds of camera perspectives are needed. Meanwhile, conventional photometric methods exist which can compute ...
Jun 20, 2024
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Reconstructing a 3D face from visuals is crucial for digital face modeling and manipulation. Traditional methods predominantly depend on RGB images, which are susceptible to lighting variations and offer only 2D information. ...
Mar 1, 2024
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An international group of researchers led by Minghao Hu of the University of Arizona in Tucson and Zongliang Wu of Westlake University in Hangzhou conducted experiments in multidimensional computational imaging to compare ...
Aug 17, 2023
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Deep learning has achieved benchmark results for various imaging tasks, including holographic microscopy, where an essential step is to recover the phase information of samples using intensity-only measurements. By training ...
Aug 16, 2022
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A new publication from Opto-Electronic Advances discusses a high performance "non-local" generic face reconstruction model using the lightweight Speckle-Transformer (SpT) Unet.
Oct 17, 2022
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