For generations, writing up a summary of a patient exam was a vital step for physicians trying to make an accurate diagnosis. What happens when A.I. does it for them? Credit...Illustration by Emmanuel ...
nMental Health Centre, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China oCentre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal ...
Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, ...
Registration-based methods are commonly used in the automatic segmentation of magnetic resonance (MR) brain images. However, these methods are not robust to the presence of gross pathologies that can ...
[2021/09/07] The Jittor convertion of PraNet (inference code) is available right now. It has robust inference efficiency compared to PyTorch version, please enjoy it. Many thanks to Yu-Cheng Chou for ...
Deep learning neural networks are especially potent at dealing with structured data, such as images and volumes. Both modified LiviaNET and HyperDense-Net performed well at a prior competition ...
Learning to read is the most important milestone in a child’s education. However, controversies remain regarding how readers’ brains transform written words into sounds and meanings. We address these ...
Two-photon calcium imaging is a standard technique of neuroscience laboratories that records neural activity from individual neurons over large populations in awake-behaving animals. Automatic and ...
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