The core benefits of convolutional neural networks (CNNs) are weight sharing and that they can automatically detect important visual features. Minh H. Vu and his group found that CNNs are very efficient in automatically segmenting ...
Feb 22, 2023
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A three-dimensional (3-D) convolutional neural network (CNN) can be used as an artificial intelligence (AI) support system for differentiating colon carcinoma (CC) and acute diverticulitis (AD) on computed tomography (CT) ...
Jan 27, 2023
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Fingerprint images have potential as predictors of schizophrenia, according to a study published online Nov. 29 in Schizophrenia Bulletin.
Dec 16, 2022
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Northwestern investigators have developed a deep learning-based method that can predict cognitive function capacity based on brain shape and structure, detailed in a study published in Scientific Reports.
Nov 4, 2022
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Zebrafish have been widely used in developmental biology, immunology, neurobiology, and drug screening, showing significant superiority in large-scale heterogeneous studies of development and drug effects due to their small ...
Oct 18, 2022
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Down syndrome, also known as Trisomy 21, is the most common chromosomal abnormality causing developmental delay and intellectual disability, and it can be identified in utero. Many pregnant women seek to determine whether ...
Jul 12, 2022
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A deep learning algorithm successfully detects periodontal disease from 2D bitewing radiographs, according to research presented at EuroPerio10, the world's leading congress in periodontology and implant dentistry organized ...
Jun 17, 2022
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Alzheimer's disease is the main cause of dementia worldwide. Although there is no cure, early detection is considered crucial for being able to develop effective treatments that act before its progress is irreversible.
Apr 27, 2022
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Neuroscientists from St. Petersburg University, led by Professor Allan V. Kalueff, in collaboration with an international team of IT specialists, have become the first in the world to apply the artificial intelligence (AI) ...
Apr 14, 2022
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The human brain has distinct and highly specialized functional regions to understand languages, recognize faces and plan ahead. However, neuroscientists must still decipher the high degree of functional specialization observed ...
