AIMC Topic: Humans

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Prediction of Drug Target Sensitivity in Cancer Cell Lines Using Apache Spark.

Journal of computational biology : a journal of computational molecular cell biology May 23, 2019
Drug Development Humans Machine Learning Software Female Breast Neoplasms Cell Line, Tumor
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Pathologist-level classification of histopathological melanoma images with deep neural networks.

European journal of cancer (Oxford, England : 1990) May 23, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports 25-26% ...
Deep Learning Humans Predictive Value of Tests Melanoma Biopsy Skin Neoplasms Reproducibility of Results Pathologists Diagnosis, Computer-Assisted Microscopy Image Interpretation, Computer-Assisted Observer Variation Nevus
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DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.

Journal of computer-aided molecular design May 23, 2019
DNA-binding proteins (DBPs) participate in various biological processes including DNA replication, recombination, and repair. In the human genome, about 6-7% of these proteins are utilized for genes encoding. DBPs shape the DNA into a compact structu...
Evolution, Molecular Databases, Protein DNA DNA-Binding Proteins Binding Sites Position-Specific Scoring Matrices Algorithms Animals Support Vector Machine Humans Machine Learning
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Effect of Depth and Width on Local Minima in Deep Learning.

Neural computation May 23, 2019
In this paper, we analyze the effects of depth and width on the quality of local minima, without strong overparameterization and simplification assumptions in the literature. Without any simplification assumption, for deep nonlinear neural networks w...
Machine Learning Humans Algorithms Neural Networks, Computer Deep Learning
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IILS: Intelligent imaging layout system for automatic imaging report standardization and intra-interdisciplinary clinical workflow optimization.

EBioMedicine May 23, 2019
BACKGROUND: To achieve imaging report standardization and improve the quality and efficiency of the intra-interdisciplinary clinical workflow, we proposed an intelligent imaging layout system (IILS) for a clinical decision support system-based ubiqui...
Automation Patient Care Team Neoplasms Image Processing, Computer-Assisted Humans Workflow Artificial Intelligence Tomography, X-Ray Computed
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Multi-Path Dilated Residual Network for Nuclei Segmentation and Detection.

Cells May 23, 2019
As a typical biomedical detection task, nuclei detection has been widely used in human health management, disease diagnosis and other fields. However, the task of cell detection in microscopic images is still challenging because the nuclei are common...
Humans Deep Learning Image Processing, Computer-Assisted Staining and Labeling Hematoxylin Cell Nucleus Logistic Models Computer Storage Devices Microscopy, Fluorescence Eosine Yellowish-(YS) Models, Biological
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A Virtual Sensor for Collision Detection and Distinction with Conventional Industrial Robots.

Sensors (Basel, Switzerland) May 23, 2019
Physical contact inevitably occurs during robot interaction with outside environments. A robot should have the ability to detect and distinguish whether a physical interaction between a human and the robot is contact or collision, so as to ensure hum...
Humans User-Computer Interface Models, Theoretical Robotics Equipment Design
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MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.

Journal of medical systems May 23, 2019
Dialogue-based simulation is a real-world practice technique for medical and clinical education that provides students with an opportunity to train using hands-on experiences without putting actual patients being put at risk. In this paper, a 3D inte...
Adult Students, Medical Male Humans Female Young Adult Knowledge Bases Education, Medical Simulation Training Clinical Competence User-Computer Interface Imaging, Three-Dimensional
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Higher SNR PET image prediction using a deep learning model and MRI image.

Physics in medicine and biology May 23, 2019
PET images often suffer poor signal-to-noise ratio (SNR). Our objective is to improve the SNR of PET images using a deep neural network (DNN) model and MRI images without requiring any higher SNR PET images in training. Our proposed DNN model consist...
Brain Reproducibility of Results Deep Learning Humans Algorithms Neuroimaging Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Positron-Emission Tomography
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Computational neurology of gravity perception involving semicircular canal dysfunction in unilateral vestibular lesions.

Progress in brain research May 23, 2019
Unilateral peripheral vestibular lesions not only lead to vertigo, nystagmus and imbalance, but also to a bias in the perception of verticality, which can be measured as tilt of the subjective visual vertical (SVV). Previously, this tilt has been ass...
Vestibular Diseases Gravity Sensing Semicircular Canals Brain Humans Models, Theoretical Neural Networks, Computer Otolithic Membrane
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