Humans

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An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.

IEEE transactions on medical imaging Sep 3, 2018
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham prognostic index plus, which uses breast cancer relevant biomarkers to stain tumor tissues prepared on tissue microarray (TMA). To determine the molecul...
Humans Algorithms Databases, Factual Image Interpretation, Computer-Assisted Immunohistochemistry Tissue Array Analysis Female Breast Neoplasms Deep Learning
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Mental labour.

Nature human behaviour Sep 3, 2018
Mental effort is an elementary notion in our folk psychology and a familiar fixture in everyday introspective experience. However, as an object of scientific study, mental effort has remained rather elusive. Cognitive psychology has provided some too...
(1)
Reward Humans Economics, Behavioral Cognition Work Decision Making
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eDoctor: machine learning and the future of medicine.

Journal of internal medicine Sep 3, 2018
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems. Proponents of ML extol its ability to deal with large, complex and disparate data, often found with...
Precision Medicine Decision Support Systems, Clinical Unsupervised Machine Learning Supervised Machine Learning Algorithms Humans Medicine Machine Learning Forecasting
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An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 3, 2018
Automated Gleason grading is an important preliminary step for quantitative histopathological feature extraction. Different from the traditional task of classifying small pre-selected homogeneous regions, semantic segmentation provides pixel-wise Gle...
Prostate Supervised Machine Learning Prostatectomy Humans Deep Learning Algorithms Image Processing, Computer-Assisted Male Prostatic Neoplasms
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Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.

Cognitive science Sep 3, 2018
Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stimuli with simple representations. Recently, deep neural networks have r...
(1)
Models, Neurological Humans Photic Stimulation Neural Networks, Computer Learning
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Personalized prediction model for seizure-free epilepsy with levetiracetam therapy: a retrospective data analysis using support vector machine.

British journal of clinical pharmacology Sep 3, 2018
AIMS: To predict the probability of a seizure-free (SF) state in patients with epilepsy (PWEs) after treatment with levetiracetam and to identify the clinical and electroencephalographic (EEG) factors that affect outcomes.
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Adult Sensitivity and Specificity Adolescent Precision Medicine Retrospective Studies Young Adult Epilepsy Seizures Anticonvulsants Levetiracetam Child Support Vector Machine Electroencephalography Humans Algorithms
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Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.

Scientific reports Sep 3, 2018
The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on magnetic resonance (MR) imaging, compared to the performance of three skilled...
Neural Networks, Computer Algorithms Retrospective Studies Female Aged Adult Humans Spine Supervised Machine Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Diagnosis, Differential Area Under Curve Male Spondylitis Middle Aged ROC Curve Tuberculosis, Osteoarticular
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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls.

Scientific reports Sep 3, 2018
We propose an effective machine learning approach to identify group of interacting single nucleotide polymorphisms (SNPs), which contribute most to the breast cancer (BC) risk by assuming dependencies among BCAC iCOGS SNPs. We adopt a gradient tree b...
Estrogen Receptor alpha Ubiquitin-Protein Ligases Finland Protein Interaction Mapping Polymorphism, Single Nucleotide Gene Expression Regulation, Neoplastic Support Vector Machine Base Sequence Genome, Human Risk Genome-Wide Association Study Humans Gene Regulatory Networks Female Prognosis Genetic Predisposition to Disease Breast Neoplasms Case-Control Studies
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A Time-Distributed Spatiotemporal Feature Learning Method for Machine Health Monitoring with Multi-Sensor Time Series.

Sensors (Basel, Switzerland) Sep 3, 2018
Data-driven methods with multi-sensor time series data are the most promising approaches for monitoring machine health. Extracting fault-sensitive features from multi-sensor time series is a daunting task for both traditional data-driven methods and ...
Humans Deep Learning Time Factors Monitoring, Physiologic Health
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Remote-access thyroid surgery-progress, assessment, and reflection.

Journal of surgical oncology Sep 3, 2018
Humans Thyroidectomy Thyroid Nodule Robotics Robotic Surgical Procedures
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