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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189
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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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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