AIMC Topic:
Databases, Factual

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His-GAN: A histogram-based GAN model to improve data generation quality.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2019
Generative Adversarial Network (GAN) has become an active research field due to its capability to generate quality simulation data. However, two consistent distributions (generated data distribution and original data distribution) produced by GAN can...
Databases, Factual Data Accuracy Neural Networks, Computer
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A new machine learning technique for an accurate diagnosis of coronary artery disease.

Computer methods and programs in biomedicine Jul 24, 2019
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD) is one of the commonest diseases around the world. An early and accurate diagnosis of CAD allows a timely administration of appropriate treatment and helps to reduce the mortality. Herein, we de...
Female Male Algorithms Support Vector Machine Data Mining Coronary Artery Disease Diagnosis, Computer-Assisted Databases, Factual Humans Models, Cardiovascular Machine Learning
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Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

IEEE transactions on medical imaging Jul 23, 2019
We aim at segmenting a wide variety of organs, including tiny targets (e.g., adrenal gland), and neoplasms (e.g., pancreatic cyst), from abdominal CT scans. This is a challenging task in two aspects. First, some organs (e.g., the pancreas), are highl...
Image Interpretation, Computer-Assisted Abdomen Pancreatic Neoplasms Humans Databases, Factual Tomography, X-Ray Computed Image Processing, Computer-Assisted Neural Networks, Computer
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A Multilayer-Learning Current-Mode Neuromorphic System With Analog-Error Compensation.

IEEE transactions on biomedical circuits and systems Jul 22, 2019
Internet-of-things applications that use machine-learning algorithms have increased the demand for application-specific energy-efficient hardware that can perform both learning and inference tasks to adapt to endpoint users or environmental changes. ...
Databases, Factual Deep Learning
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Chemical-induced disease relation extraction via attention-based distant supervision.

BMC bioinformatics Jul 22, 2019
BACKGROUND: Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedic...
Toxicogenetics Databases as Topic Disease Neural Networks, Computer Algorithms Workflow Supervised Machine Learning Databases, Factual Humans
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A Novel Approach for Multi-Lead ECG Classification Using DL-CCANet and TL-CCANet.

Sensors (Basel, Switzerland) Jul 21, 2019
Cardiovascular disease (CVD) has become one of the most serious diseases that threaten human health. Over the past decades, over 150 million humans have died of CVDs. Hence, timely prediction of CVDs is especially important. Currently, deep learning ...
Humans Algorithms Deep Learning Electrocardiography Support Vector Machine Databases, Factual Cardiovascular Diseases Heart Rate Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease-A review.

Clinical neurology and neurosurgery Jul 16, 2019
Artificial intelligence, specifically machine learning, has found numerous applications in computer-aided diagnostics, monitoring and management of neurodegenerative movement disorders of parkinsonian type. These tasks are not trivial due to high int...
Machine Learning Algorithms Parkinson Disease Movement Databases, Factual Humans Artificial Intelligence
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Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification.

IEEE transactions on pattern analysis and machine intelligence Jul 15, 2019
Person re-identification (re-id) aims to match people across non-overlapping camera views in a public space. This is a challenging problem because the people captured in surveillance videos often wear similar clothing. Consequently, the differences i...
Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated Biometric Identification Humans Video Recording Databases, Factual
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Proximity Environmental Feature Based Tree Health Assessment Scheme Using Internet of Things and Machine Learning Algorithm.

Sensors (Basel, Switzerland) Jul 15, 2019
Improperly grown trees may cause huge hazards to the environment and to humans, through e.g., climate change, soil erosion, etc. A proximity environmental feature-based tree health assessment (PTA) scheme is proposed to prevent these hazards by provi...
Humans Neural Networks, Computer Machine Learning Internet Internet of Things Environmental Health Algorithms Databases, Factual
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Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks.

Sensors (Basel, Switzerland) Jul 13, 2019
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system c...
Manikins Computer-Assisted Instruction Data Curation Equipment Design Cardiopulmonary Resuscitation Body Weight Education, Medical Databases, Factual Thorax Humans Information Storage and Retrieval Surveys and Questionnaires Neural Networks, Computer Posture
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