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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189
Machine learning & AI
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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189
Machine learning & AI
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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48
Computer Sciences
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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16
Computer Sciences
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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30
Computer Sciences
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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25