AIMC Topic: Neural Networks, Computer

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A modular cGAN classification framework: Application to colorectal tumor detection.

Scientific reports Dec 12, 2019
Automatic identification of tissue structures in the analysis of digital tissue biopsies remains an ongoing problem in digital pathology. Common barriers include lack of reliable ground truth due to inter- and intra- reader variability, class imbalan...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Immunohistochemistry Female Colorectal Neoplasms Male
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A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.

BMC medical informatics and decision making Dec 12, 2019
BACKGROUND: The automatic segmentation of kidneys in medical images is not a trivial task when the subjects undergoing the medical examination are affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD). Several works dealing with the segmen...
Polycystic Kidney, Autosomal Dominant Magnetic Resonance Imaging Semantics Magnetic Resonance Spectroscopy Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network.

BMC bioinformatics Dec 12, 2019
BACKGROUND: Calling genetic variations from sequence reads is an important problem in genomics. There are many existing methods for calling various types of variations. Recently, Google developed a method for calling single nucleotide polymorphisms (...
Humans Neural Networks, Computer Sequence Deletion Machine Learning Software High-Throughput Nucleotide Sequencing Genomics Base Sequence Chromosomes, Human
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Channel-spatial attention network for fewshot classification.

PloS one Dec 12, 2019
Learning a powerful representation for a class with few labeled samples is a challenging problem. Although some state-of-the-art few-shot learning algorithms perform well based on meta-learning, they only focus on novel network architecture and fail ...
Attention Neural Networks, Computer Algorithms Deep Learning
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Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor.

IEEE transactions on biomedical circuits and systems Dec 11, 2019
Hand movement classification via surface electromyographic (sEMG) signal is a well-established approach for advanced Human-Computer Interaction. However, sEMG movement recognition has to deal with the long-term reliability of sEMG-based control, limi...
Gestures Equipment Design Humans Man-Machine Systems Hand Signal Processing, Computer-Assisted Neural Networks, Computer Electromyography Adult Internet of Things Male
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Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network-based US radiomics model.

European radiology Dec 11, 2019
OBJECTIVE: To develop a machine learning-based ultrasound (US) radiomics model for predicting tumour deposits (TDs) preoperatively.
Preoperative Period Extranodal Extension Ultrasonography Magnetic Resonance Imaging Rectal Neoplasms Male Machine Learning Humans Prospective Studies Middle Aged Neural Networks, Computer Female Aged Adult
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Prediction of lower limb joint angles and moments during gait using artificial neural networks.

Medical & biological engineering & computing Dec 11, 2019
In recent years, gait analysis outside the laboratory attracts more and more attention in clinical applications as well as in life sciences. Wearable sensors such as inertial sensors show high potential in these applications. Unfortunately, they can ...
Databases as Topic Joints Neural Networks, Computer Biomechanical Phenomena Lower Extremity Kinetics Gait Models, Biological Humans
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Medication-rights detection using incident reports: A natural language processing and deep neural network approach.

Health informatics journal Dec 10, 2019
Medication errors often occurred due to the breach of medication rights that are the right patient, the right drug, the right time, the right dose and the right route. The aim of this study was to develop a medication-rights detection system using na...
Patient Safety Support Vector Machine Natural Language Processing Risk Management Humans Neural Networks, Computer
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Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.

Journal of neurointerventional surgery Dec 10, 2019
BACKGROUND: Angiographic parametric imaging (API), based on digital subtraction angiography (DSA), is a quantitative imaging tool that may be used to extract contrast flow parameters related to hemodynamic conditions in abnormal pathologies such as i...
Predictive Value of Tests Feasibility Studies Angiography, Digital Subtraction Middle Aged Deep Learning Treatment Outcome Humans Neural Networks, Computer Intracranial Aneurysm Female Adult Male
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A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue.

Biomechanics and modeling in mechanobiology Dec 10, 2019
Real-time simulation of organs increases comfort and safety for patients during the surgery. Proper generalized decomposition (PGD) is an efficient numerical method with coordinate errors below 1 mm and response time below 0.1 s that can be used for ...
Neural Networks, Computer Machine Learning Algorithms Humans Imaging, Three-Dimensional Liver Models, Biological Computer Simulation Animals Swine Anisotropy Materials Testing Nonlinear Dynamics Stress, Mechanical Elasticity Finite Element Analysis Models, Cardiovascular
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