AIMC Topic: Deep Learning

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Multi-proportion channel ensemble model for retinal vessel segmentation.

Computers in biology and medicine Jul 9, 2019
OBJECTIVE: A novel supervised method that is based on the Multi-Proportion Channel Ensemble Model (MPC-EM) is proposed to obtain more vessel details with reduced computational complexity.
Algorithms Databases, Factual Deep Learning Fundus Oculi Image Interpretation, Computer-Assisted Retinal Vessels Humans
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Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.

Sensors (Basel, Switzerland) Jul 9, 2019
According to the survey on various health centres, smart log-based multi access physical monitoring system determines the health conditions of humans and their associated problems present in their lifestyle. At present, deficiency in significant nutr...
Body Temperature Algorithms Bayes Theorem Multimedia Electroencephalography Deep Learning Electrocardiography Electromyography Wearable Electronic Devices Monitoring, Physiologic Humans Blood Pressure Neural Networks, Computer
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Identifying signal-dependent information about the preictal state: A comparison across ECoG, EEG and EKG using deep learning.

EBioMedicine Jul 9, 2019
BACKGROUND: The inability to reliably assess seizure risk is a major burden for epilepsy patients and prevents developing better treatments. Recent advances have paved the way for increasingly accurate seizure preictal state detection algorithms, pri...
Electrocardiography Electroencephalography Epilepsy Seizures Electrocorticography Female Male Deep Learning Humans Neural Networks, Computer Precision Medicine
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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing.

Circulation. Cardiovascular quality and outcomes Jul 9, 2019
BACKGROUND: Data sharing accelerates scientific progress but sharing individual-level data while preserving patient privacy presents a barrier.
Humans Antihypertensive Agents Confidentiality Data Collection Information Dissemination Computer Security Treatment Outcome Randomized Controlled Trials as Topic Computer Simulation Blood Pressure Deep Learning Hypertension
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Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model.

IEEE transactions on medical imaging Jul 8, 2019
Automated identification and localization of vertebrae in spinal computed tomography (CT) imaging is a complicated hybrid task. This task requires detecting and indexing a long sequence in a 3-D image, and both image feature extraction and sequence m...
Imaging, Three-Dimensional Spine Markov Chains Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Scoliosis Humans
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Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction.

Nature methods Jul 8, 2019
Deep learning is becoming an increasingly important tool for image reconstruction in fluorescence microscopy. We review state-of-the-art applications such as image restoration and super-resolution imaging, and discuss how the latest deep learning res...
Scattering, Radiation Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Humans
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Applying Deep Neural Network Analysis to High-Content Image-Based Assays.

SLAS discovery : advancing life sciences R & D Jul 8, 2019
The etiological underpinnings of many CNS disorders are not well understood. This is likely due to the fact that individual diseases aggregate numerous pathological subtypes, each associated with a complex landscape of genetic risk factors. To overco...
Humans Neural Networks, Computer Molecular Imaging High-Throughput Screening Assays Machine Learning Deep Learning Image Processing, Computer-Assisted
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On-field player workload exposure and knee injury risk monitoring via deep learning.

Journal of biomechanics Jul 8, 2019
In sports analytics, an understanding of accurate on-field 3D knee joint moments (KJM) could provide an early warning system for athlete workload exposure and knee injury risk. Traditionally, this analysis has relied on captive laboratory force plate...
Biomechanical Phenomena Male Deep Learning Workload Motion Athletes Neural Networks, Computer Female Risk Factors Humans Knee Injuries Risk Evaluation and Mitigation Sports Movement Anterior Cruciate Ligament Injuries
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Automated Ventricular System Segmentation in Paediatric Patients Treated for Hydrocephalus Using Deep Learning Methods.

BioMed research international Jul 7, 2019
Hydrocephalus is a common neurological condition that can have traumatic ramifications and can be lethal without treatment. Nowadays, during therapy radiologists have to spend a vast amount of time assessing the volume of cerebrospinal fluid (CSF) by...
Hydrocephalus Infant Child, Preschool Female Humans Deep Learning Child Infant, Newborn Neural Networks, Computer Adolescent Imaging, Three-Dimensional Male Tomography, X-Ray Computed
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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.

European journal of nuclear medicine and molecular imaging Jul 6, 2019
Techniques from the field of artificial intelligence, and more specifically machine (deep) learning methods, have been core components of most recent developments in the field of medical imaging. They are already being exploited or are being consider...
Image Processing, Computer-Assisted Molecular Imaging Nuclear Medicine Humans Deep Learning
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