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
Consumer & Gadgets
A startup focused on "invisible computing" Thursday unveiled a smart contact lens which delivers an augmented reality display in a user's field of vision.
Jan 16, 2020
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Machine learning & AI
Pictures may be worth a thousand words but with medical images, that's an understatement. Digital images of biopsies are especially valuable in diagnosing and tracking the progression of certain diseases, such as chronic ...
Feb 20, 2019
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Computer Sciences
Many technology companies are working on artificial intelligence systems that can analyze medical data to help diagnose or treat health problems. Such systems raise the question of whether this kind of technology can perform ...
Jul 20, 2018
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16
Computer Sciences
A computer's ability to predict a patient's lifespan simply by looking at images of their organs is a step closer to becoming a reality, thanks to new research led by the University of Adelaide.
Jun 1, 2017
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52
Computer Sciences
Researchers have demonstrated a novel image compression tool that combines recursive algorithms with convolutional neural networks (CNNs) to out-perform other approaches to the compression of images from computer art and ...
Aug 9, 2024
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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
Security
We expose ourselves to data manipulation every time we send information over the internet. A recent study led by researcher Tanya Koohpayeh Araghi from the Interdisciplinary Internet Institute (IN3) of the Universitat Oberta ...
Jun 27, 2024
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3
Engineering
The development of the world's most performant neural network module for accurately extracting objects from aerial and satellite imagery is expected to have wide applications across various fields, according to DGIST and ...
Apr 22, 2024
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2
Engineering
In intelligent sensing fields such as radar, machine vision and medical imaging, the critical information used for decision-making is often sparse. For example, a monosyllabic waveform requires thousands of sampling points, ...
Apr 2, 2024
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