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Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy.

Physics in medicine and biology Sep 17, 2018
Convolutional neural networks (CNNs) have become the state-of-the-art method for medical segmentation. However, repeated pooling and striding operations reduce the feature resolution, causing loss of detailed information. Additionally, tumors of diff...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Rectal Neoplasms Humans Neural Networks, Computer Tomography, X-Ray Computed
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Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study.

The Lancet. Respiratory medicine Sep 16, 2018
BACKGROUND: Based on international diagnostic guidelines, high-resolution CT plays a central part in the diagnosis of fibrotic lung disease. In the correct clinical context, when high-resolution CT appearances are those of usual interstitial pneumoni...
Humans Tomography, X-Ray Computed Reproducibility of Results Proportional Hazards Models Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Deep Learning Practice Guidelines as Topic Cohort Studies
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Deep learning and the evaluation of pulmonary fibrosis.

The Lancet. Respiratory medicine Sep 16, 2018
Humans Tomography, X-Ray Computed Deep Learning Cohort Studies Pulmonary Fibrosis
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A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading.

Sensors (Basel, Switzerland) Sep 16, 2018
Behavior analysis through posture recognition is an essential research in robotic systems. Sitting with unhealthy sitting posture for a long time seriously harms human health and may even lead to lumbar disease, cervical disease and myopia. Automatic...
Reading Screen Time Robotics Automation Semantics Humans Posture
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Robot-assisted Radical Prostatectomy-So Successful Because It Is Better or Better Because It Is So Successful?

European urology oncology Sep 15, 2018
Robotic Surgical Procedures Prostatectomy Male Humans Follow-Up Studies Sweden Robotics
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Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.

International ophthalmology Sep 14, 2018
PURPOSE: In this study, we compared deep learning (DL) with support vector machine (SVM), both of which use three-dimensional optical coherence tomography (3D-OCT) images for detecting epiretinal membrane (ERM).
Deep Learning Imaging, Three-Dimensional Support Vector Machine Aged Male Early Diagnosis Epiretinal Membrane Visual Acuity Tomography, Optical Coherence Retina Humans Machine Learning Female
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Endoflip vs high-definition manometry in the assessment of fecal incontinence: A data-driven unsupervised comparison.

Neurogastroenterology and motility Sep 14, 2018
BACKGROUND: How much anal sphincter dysfunction contributes to fecal incontinence (FI) is not clear. High-definition anorectal manometry (HDAM) and functional luminal imaging probe (Endoflip) are two new techniques to study anal sphincter function.
Humans Middle Aged Young Adult Imaging, Three-Dimensional Machine Learning Manometry Female Adult Fecal Incontinence Sensitivity and Specificity
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Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.

European journal of radiology Sep 14, 2018
PURPOSE: To evaluate the performance of a machine learning method based on texture features in multi-parametric magnetic resonance imaging (MRI) to differentiate a glioblastoma multiforme (GBM) from a primary cerebral nervous system lymphoma (PCNSL).
Image Enhancement Aged Adult Brain Neoplasms Diagnosis, Differential Glioblastoma Retrospective Studies Female Logistic Models Lymphoma Magnetic Resonance Imaging Humans Machine Learning Male Brain Middle Aged ROC Curve
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Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression.

Neural computation Sep 14, 2018
Intracortical brain computer interfaces can enable individuals with paralysis to control external devices through voluntarily modulated brain activity. Decoding quality has been previously shown to degrade with signal nonstationarities-specifically, ...
User-Computer Interface Brain-Computer Interfaces Quadriplegia Adult Male Humans Neural Networks, Computer
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Comparison of MetaMap and cTAKES for entity extraction in clinical notes.

BMC medical informatics and decision making Sep 14, 2018
BACKGROUND: Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes challenging due to their narra...
Information Storage and Retrieval Unified Medical Language System Humans Natural Language Processing
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