AIMC Topic: Dogs

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Bispectrum Features and Multilayer Perceptron Classifier to Enhance Seizure Prediction.

Scientific reports Oct 19, 2018
The ability to accurately forecast seizures could significantly improve the quality of life of patients with drug-refractory epilepsy. Prediction capabilities rely on the adequate identification of seizure activity precursors from electroencephalogra...
Animals Seizures Dogs Statistics as Topic Humans Neural Networks, Computer Algorithms
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Ultrasound-guided posterior extraconal block in the dog: anatomical study in cadavers.

Veterinary anaesthesia and analgesia Oct 11, 2018
OBJECTIVE: To describe a novel ultrasound-guided posterior extraconal block in the dog.
Prospective Studies Orbit Ultrasonography, Interventional Animals Nerve Block Dogs Cadaver Ophthalmologic Surgical Procedures
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Effects of hyaluronidase on ropivacaine or bupivacaine regional anaesthesia of the canine pelvic limb.

Veterinary anaesthesia and analgesia Sep 28, 2018
OBJECTIVE: To determine the effect of hyaluronidase on time to onset and offset of anaesthesia in ropivacaine or bupivacaine femoral-ischiatic nerve blocks.
Male Nerve Block Hindlimb Treatment Outcome Hyaluronoglucosaminidase Anesthetics, Local Dogs Female Random Allocation Pain Measurement Animals Femoral Nerve Bupivacaine Ropivacaine
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MoDL: Model-Based Deep Learning Architecture for Inverse Problems.

IEEE transactions on medical imaging Aug 13, 2018
We introduce a model-based image reconstruction framework with a convolution neural network (CNN)-based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitr...
Image Processing, Computer-Assisted Humans Brain Dogs Magnetic Resonance Imaging Algorithms Cats Animals Deep Learning
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Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress.

Journal of electrocardiology Aug 13, 2018
BACKGROUND: Myocardial ischemia has a complex and time-varying electrocardiographic signature that is used to diagnose and stratify severity. Despite the ubiquitous clinical use of the ECG to detect ischemia, the sensitivity and specificity of ECG ba...
Time Factors Electrocardiography Sensitivity and Specificity Disease Models, Animal Animals Machine Learning Dogs Swine Myocardial Ischemia
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A Novel Morphological Marker for the Analysis of Molecular Activities at the Single-cell Level.

Cell structure and function Jun 29, 2018
For more than a century, hematoxylin and eosin (H&E) staining has been the de facto standard for histological studies. Consequently, the legacy of histological knowledge is largely based on H&E staining. Due to the recent advent of multi-photon excit...
MAP Kinase Signaling System Mice, Transgenic Dogs Madin Darby Canine Kidney Cells Fluorescence Resonance Energy Transfer Machine Learning Animals Single-Cell Analysis Mice, Inbred C57BL Microscopy, Fluorescence Imaging, Three-Dimensional Biosensing Techniques
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Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning.

Journal of neuroscience methods Jun 23, 2018
BACKGROUND: Electroencephalography (EEG) invariably contains extra-cranial artifacts that are commonly dealt with based on qualitative and subjective criteria. Failure to account for EEG artifacts compromises data interpretation.
Humans Machine Learning Rats, Sprague-Dawley Electroencephalography Signal Processing, Computer-Assisted Dogs Animals ROC Curve Rats Artifacts Brain Waves
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Prediction of radiographic abnormalities by the use of bag-of-features and convolutional neural networks.

Veterinary journal (London, England : 1997) May 29, 2018
This study evaluated the feasibility of bag-of-features (BOF) and convolutional neural networks (CNN) for computer-aided detection in distinguishing normal from abnormal radiographic findings. Computed thoracic radiographs of dogs were collected. For...
Dog Diseases Heart Diseases Radiography, Thoracic Diagnosis, Computer-Assisted Lung Diseases Dogs Sensitivity and Specificity Neural Networks, Computer Animals Reproducibility of Results
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Development of a deep convolutional neural network to predict grading of canine meningiomas from magnetic resonance images.

Veterinary journal (London, England : 1997) Apr 4, 2018
An established deep neural network (DNN) based on transfer learning and a newly designed DNN were tested to predict the grade of meningiomas from magnetic resonance (MR) images in dogs and to determine the accuracy of classification of using pre- and...
Dog Diseases Neural Networks, Computer Meningioma Animals Meningeal Neoplasms Magnetic Resonance Imaging Dogs
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Prevalence and genotypes of Giardia lamblia from stray dogs and cats in Guangdong, China.

Veterinary parasitology, regional studies and reports Apr 3, 2018
Giardia lamblia is a worldwide zoonotic intestinal parasite that infects humans and a wide range of mammals including dogs and cats, causing giardiasis with diarrhea. To investigate the infection and distribution of G. lamblia genotypes from stray do...
Feces Giardiasis Prevalence Genotype Polymerase Chain Reaction Phylogeny Sequence Analysis, DNA Protozoan Proteins Cats China RNA, Ribosomal, 18S Cat Diseases Triose-Phosphate Isomerase Female Cytoskeletal Proteins DNA, Protozoan Animals Dogs Giardia lamblia Male Dog Diseases
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