AIMC Topic: Humans

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Ultrasound prostate segmentation based on multidirectional deeply supervised V-Net.

Medical physics May 29, 2019
PURPOSE: Transrectal ultrasound (TRUS) is a versatile and real-time imaging modality that is commonly used in image-guided prostate cancer interventions (e.g., biopsy and brachytherapy). Accurate segmentation of the prostate is key to biopsy needle p...
Image Processing, Computer-Assisted Prostate Supervised Machine Learning Observer Variation Male Deep Learning Ultrasonography Humans
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Optimizing colour for camouflage and visibility using deep learning: the effects of the environment and the observer's visual system.

Journal of the Royal Society, Interface May 29, 2019
Avoiding detection can provide significant survival advantages for prey, predators, or the military; conversely, maximizing visibility would be useful for signalling. One simple determinant of detectability is an animal's colour relative to its envir...
Deep Learning Models, Biological Visual Perception Humans Animals Pigmentation Biological Mimicry
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Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China.

Scientific reports May 29, 2019
The high incidence, seasonal pattern and frequent outbreaks of hand, foot, and mouth disease (HFMD) represent a threat for millions of children in mainland China. And advanced response is being used to address this. Here, we aimed to model time serie...
Hand, Foot and Mouth Disease Child, Preschool Deep Learning Humans China Datasets as Topic Models, Statistical Incidence Seasons Forecasting Epidemics Computer Simulation Epidemiological Monitoring
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Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning.

Scientific reports May 29, 2019
Currently, many critical care indices are not captured automatically at a granular level, rather are repetitively assessed by overburdened nurses. In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial i...
Middle Aged Deep Learning Pilot Projects Humans Wearable Electronic Devices Accelerometry Prospective Studies Remote Sensing Technology Feasibility Studies Aged Critical Illness Adult Male Intensive Care Units Delirium Female Critical Care Video Recording
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CollaboNet: collaboration of deep neural networks for biomedical named entity recognition.

BMC bioinformatics May 29, 2019
BACKGROUND: Finding biomedical named entities is one of the most essential tasks in biomedical text mining. Recently, deep learning-based approaches have been applied to biomedical named entity recognition (BioNER) and showed promising results. Howev...
Animals Deep Learning Mice Models, Theoretical Humans Data Mining Neural Networks, Computer
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Computational determination of hERG-related cardiotoxicity of drug candidates.

BMC bioinformatics May 29, 2019
BACKGROUND: Drug candidates often cause an unwanted blockage of the potassium ion channel of the human ether-a-go-go-related gene (hERG). The blockage leads to long QT syndrome (LQTS), which is a severe life-threatening cardiac side effect. Therefore...
Guinea Pigs Ether-A-Go-Go Potassium Channels Databases, Genetic Area Under Curve Cardiotoxicity Machine Learning Animals ROC Curve Humans Neural Networks, Computer
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Drug repositioning of herbal compounds via a machine-learning approach.

BMC bioinformatics May 29, 2019
BACKGROUND: Drug repositioning, also known as drug repurposing, defines new indications for existing drugs and can be used as an alternative to drug development. In recent years, the accumulation of large volumes of information related to drugs and d...
Drug Repositioning Pharmaceutical Preparations Models, Biological Reproducibility of Results Logistic Models Phytochemicals Gene Ontology Machine Learning Humans Algorithms Phenotype
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ADMM-based deep reconstruction for limited-angle CT.

Physics in medicine and biology May 29, 2019
In the real applications of computed tomography (CT) imaging, the projection data of the scanned objects are usually acquired within a limited-angle range because of the limitation of the scanning condition. Under these circumstances, conventional an...
Artifacts Phantoms, Imaging Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.

Physics in medicine and biology May 29, 2019
Inverse treatment planning in radiation therapy is formulated as solving optimization problems. The objective function and constraints consist of multiple terms designed for different clinical and practical considerations. Weighting factors of these ...
Humans Deep Learning Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Algorithms Female Uterine Cervical Neoplasms
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Learning the signatures of the human grasp using a scalable tactile glove.

Nature May 29, 2019
Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of force-a challenging set of tasks for a modern robot. Mechanoreceptor networks that provide sensory feedback and en...
Clothing Hand Strength Humans Hand Neural Networks, Computer Man-Machine Systems Datasets as Topic Data Analysis Touch
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