AIMC Topic: Dogs
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Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jul 1, 2019
The prevailing characteristics of micro-videos result in the less descriptive power of each modality. The micro-video representations, several pioneer efforts proposed, are limited in implicitly exploring the consistency between different modality in...
Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.
Australian veterinary journal
Jun 17, 2019
BACKGROUND: Currently there is an incomplete understanding of antimicrobial usage patterns in veterinary clinics in Australia, but such knowledge is critical for the successful implementation and monitoring of antimicrobial stewardship programs.
A low-cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning.
Journal of biophotonics
May 30, 2019
Manual hand counting of parasites in fecal samples requires costly components and substantial expertise, limiting its use in resource-constrained settings and encouraging overuse of prophylactic medication. To address this issue, a cost-effective, au...
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis.
Medical image analysis
Apr 18, 2019
The accurate quantification of left ventricular (LV) deformation/strain shows significant promise for quantitatively assessing cardiac function for use in diagnosis and therapy planning. However, accurate estimation of the displacement of myocardial ...
Deep-learning for seizure forecasting in canines with epilepsy.
Journal of neural engineering
Apr 8, 2019
OBJECTIVE: This paper introduces a fully automated, subject-specific deep-learning convolutional neural network (CNN) system for forecasting seizures using ambulatory intracranial EEG (iEEG). The system was tested on a hand-held device (Mayo Epilepsy...
Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Apr 8, 2019
Cell classification based on phenotypical, spatial, and genetic information greatly advances our understanding of the physiology and pathology of biological systems. Technologies derived from next generation sequencing and fluorescent activated cell ...
Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.
The Science of the total environment
Dec 31, 2018
Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiquitous occurrence in food and water and regular detection in human urine at concentrations of 1-10 μg/L. Data pertaining to health risks arising from ...
Photoluminescence-tunable fluorescent carbon dots-deposited silver nanoparticle for detection and killing of bacteria.
Materials science & engineering. C, Materials for biological applications
Dec 22, 2018
Innovative methods to detect and kill pathogenic bacteria have a pivotal role in the eradication of infectious diseases and the prevention of the growth of antibiotic-resistant bacteria. The combination of fluorescent carbon dots (FCDs) with silver n...
Resource-Efficient Pet Dog Sound Events Classification Using LSTM-FCN Based on Time-Series Data.
Sensors (Basel, Switzerland)
Nov 18, 2018
The use of IoT (Internet of Things) technology for the management of pet dogs left alone at home is increasing. This includes tasks such as automatic feeding, operation of play equipment, and location detection. Classification of the vocalizations of...
A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images.
BMC veterinary research
Oct 22, 2018
BACKGROUND: Distinguishing between meningeal-based and intra-axial lesions by means of magnetic resonance (MR) imaging findings may occasionally be challenging. Meningiomas and gliomas account for most of the total primary brain neoplasms in dogs, an...
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