Humans

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SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection.

IEEE journal of biomedical and health informatics Feb 8, 2018
Due to the importance of nuclear structure in cancer diagnosis, several predictive models have been described for diagnosing a wide variety of cancers based on nuclear morphology. In many computer-aided diagnosis (CAD) systems, cancer detection tasks...
Histocytochemistry Databases, Factual Humans Neoplasms Support Vector Machine Microscopy Molecular Imaging Image Interpretation, Computer-Assisted Cell Nucleus
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Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Feb 8, 2018
BACKGROUND: Stress recognition using electrocardiogram (ECG) signals requires the intractable long-term heart rate variability (HRV) parameter extraction process. This study proposes a novel deep learning framework to recognize the stressful states, ...
(2)
Humans Neural Networks, Computer Republic of Korea Deep Learning Heart Rate Stress, Psychological Belgium Image Processing, Computer-Assisted Young Adult Electrocardiography Adult Male
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Skin Datasets as Topic False Positive Reactions Photography Predictive Value of Tests Area Under Curve Biopsy Lentigo Keratosis, Seborrheic Warts Granuloma, Pyogenic Keratosis, Actinic Young Adult Adult Male Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Diagnosis, Differential Female Skin Neoplasms Aged Aged, 80 and over Humans Software
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Flexible robotics in pelvic disease: does the catheter increase applicability of embolic therapy?

The Journal of cardiovascular surgery Feb 8, 2018
Interventional radiology procedures, equipment, and techniques as well as image guidance have developed dramatically over the last few decades. The evidence for minimally invasive interventions in vascular and oncology fields is rapidly growing and s...
(1)
Humans Uterine Artery Embolization Female Vascular Diseases Prostatic Hyperplasia Uterine Neoplasms Radiography, Interventional Robotics Male Regional Blood Flow Leiomyoma Equipment Design Pliability Embolization, Therapeutic Treatment Outcome Pelvis Vascular Access Devices Catheterization, Peripheral
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Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study.

International journal of medical informatics Feb 8, 2018
OBJECTIVE: To reduce errors in determining eligibility for intravenous thrombolytic therapy (IVT) in stroke patients through use of an enhanced task-specific electronic medical record (EMR) interface powered by natural language processing (NLP) techn...
Natural Language Processing Thrombolytic Therapy Fibrinolytic Agents Stroke Feasibility Studies Unified Medical Language System Adult Male Middle Aged Treatment Outcome Algorithms Electronic Health Records Female Humans
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Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing.

Medical physics Feb 8, 2018
BACKGROUND AND PURPOSE: Convolutional neural networks (CNNs) are commonly used for segmentation of brain tumors. In this work, we assess the effect of cross-institutional training on the performance of CNNs.
(1)
Humans Neural Networks, Computer Machine Learning Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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The association between reconstructed phase space and Artificial Neural Networks for vectorcardiographic recognition of myocardial infarction.

Journal of electrocardiology Feb 8, 2018
Myocardial infarction is one of the leading causes of death worldwide. As it is life threatening, it requires an immediate and precise treatment. Due to this, a growing number of research and innovations in the field of biomedical signal processing i...
Humans Diagnosis, Differential Neural Networks, Computer Myocardial Infarction Algorithms Vectorcardiography
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Evolutionary Wavelet Neural Network ensembles for breast cancer and Parkinson's disease prediction.

PloS one Feb 8, 2018
Wavelet Neural Networks are a combination of neural networks and wavelets and have been mostly used in the area of time-series prediction and control. Recently, Evolutionary Wavelet Neural Networks have been employed to develop cancer prediction mode...
Breast Neoplasms Humans Neural Networks, Computer Male Female Mammography
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Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.

Research synthesis methods Feb 7, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this w...
Reproducibility of Results Sensitivity and Specificity ROC Curve Support Vector Machine Humans Machine Learning Algorithms Randomized Controlled Trials as Topic Registries Subject Headings Review Literature as Topic Evidence-Based Medicine Information Storage and Retrieval Search Engine Databases, Bibliographic
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Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function.

International journal of radiation oncology, biology, physics Feb 7, 2018
PURPOSE: Automating and standardizing the contouring of clinical target volumes (CTVs) can reduce interphysician variability, which is one of the largest sources of uncertainty in head and neck radiation therapy. In addition to using uniform margin e...
Deep Learning Head and Neck Neoplasms Tumor Burden Observer Variation Oropharyngeal Neoplasms Humans Algorithms
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