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Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.

IEEE journal of biomedical and health informatics Nov 20, 2017
The classification of medical images and illustrations from the biomedical literature is important for automated literature review, retrieval, and mining. Although deep learning is effective for large-scale image classification, it may not be the opt...
(2)
Deep Learning Humans Image Processing, Computer-Assisted Algorithms Diagnostic Imaging
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Profiling Arthritis Pain with a Decision Tree.

Pain practice : the official journal of World Institute of Pain Nov 20, 2017
BACKGROUND: Arthritis is the leading cause of work disability and contributes to lost productivity. Previous studies showed that various factors predict pain, but they were limited in sample size and scope from a data analytics perspective.
Humans Machine Learning Pain Data Mining Arthritis Algorithms Sensitivity and Specificity Decision Trees
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Performance of a Robotic Assistance Device in Computed Tomography-Guided Percutaneous Diagnostic and Therapeutic Procedures.

Cardiovascular and interventional radiology Nov 20, 2017
PURPOSE: To evaluate a commercially available robotic assistance device for computed tomography-guided diagnostic and therapeutic interventions, compared to regular, manually performed CT scan-guided interventions in terms of precision, exposure to r...
Humans Prospective Studies Tomography, X-Ray Computed Female Radiography, Interventional Aged Time Factors Male Robotics Radiation Dosage
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Prediction of dose to the relatives of patients treated with radioiodine-131 using neural networks.

Journal of radiological protection : official journal of the Society for Radiological Protection Nov 20, 2017
In this study, the effective dose received by the family members and caregivers of 52 thyroid cancer patients, who had been treated with radioiodine I-131, was measured to investigate the ability of the neural network to predict the doses to the rela...
Adult Middle Aged Child Humans Neural Networks, Computer Family Caregivers Radiation Exposure Thyroid Neoplasms Iodine Radioisotopes Radiation Dosage
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Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Nov 20, 2017
PURPOSE: Our purpose was to use deep learning for the automated detection of age-related macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT).
(1)
Macula Lutea Wet Macular Degeneration Humans Neural Networks, Computer Machine Learning Reproducibility of Results Tomography, Optical Coherence
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Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 20, 2017
BACKGROUND AND PURPOSE: Clinical decision support systems are a growing class of tools with the potential to impact healthcare. This study investigates the construction of a decision support system through which clinicians can efficiently identify wh...
Oropharyngeal Neoplasms Decision Support Systems, Clinical Decision Making Humans Radiotherapy Planning, Computer-Assisted Machine Learning
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Invited comment to: Laparoscopic inguinal hernioplasty after robot-assisted laparoscopic radical prostatectomy. Sakon M, Sekino Y, Okada M, Seki H, Munakata Y.

Hernia : the journal of hernias and abdominal wall surgery Nov 20, 2017
Prostatic Neoplasms Laparoscopy Prostatectomy Herniorrhaphy Hernia, Inguinal Humans Male Robotics
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Performance of thigh-mounted triaxial accelerometer algorithms in objective quantification of sedentary behaviour and physical activity in older adults.

PloS one Nov 20, 2017
Accurate monitoring of sedentary behaviour and physical activity is key to investigate their exact role in healthy ageing. To date, accelerometers using cut-off point models are most preferred for this, however, machine learning seems a highly promis...
(1)
Female Humans Sedentary Behavior Monitoring, Ambulatory Aged Male Machine Learning Accelerometry Middle Aged Calorimetry, Indirect Exercise Thigh Energy Metabolism
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Emerging Trends in Machine Learning for Signal Processing.

Computational intelligence and neuroscience Nov 19, 2017
Signal Processing, Computer-Assisted Humans Machine Learning
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Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Medical & biological engineering & computing Nov 18, 2017
Impedance cardiography is a low-cost noninvasive technique, based on monitoring of the thoracic impedance, for estimation of stroke volume (SV). Impedance cardiogram (ICG) is the negative of the first derivative of the impedance signal. A technique f...
Young Adult Adult Cardiography, Impedance Male Humans Signal Processing, Computer-Assisted Algorithms Stroke Volume Neural Networks, Computer Echocardiography, Doppler Female Middle Aged Aged
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