AIMC Topic: Dogs

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Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks.

Communications biology May 18, 2023
Tissue dynamics play critical roles in many physiological functions and provide important metrics for clinical diagnosis. Capturing real-time high-resolution 3D images of tissue dynamics, however, remains a challenge. This study presents a hybrid phy...
Neural Networks, Computer Algorithms Dogs Vocal Cords Physics Animals Imaging, Three-Dimensional
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Searching by parts: Towards fine-grained image retrieval respecting species correlation.

Gene expression patterns : GEP Feb 6, 2023
Most of the existing works on fine-grained image categorization and retrieval focus on finding similar images from the same species and often give little importance to inter-species similarities. However, these similarities may carry species correlat...
Image Processing, Computer-Assisted Dogs Phenotype Neural Networks, Computer Animals
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Enhanced Classification of Dog Activities with Quaternion-Based Fusion Approach on High-Dimensional Raw Data from Wearable Sensors.

Sensors (Basel, Switzerland) Dec 4, 2022
The employment of machine learning algorithms to the data provided by wearable movement sensors is one of the most common methods to detect pets' behaviors and monitor their well-being. However, defining features that lead to highly accurate behavior...
Machine Learning Dogs Normal Distribution Support Vector Machine Algorithms Bayes Theorem Animals
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Deep learning-based diagnosis of stifle joint diseases in dogs.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Nov 29, 2022
In this retrospective, analytical study, we developed a deep learning-based diagnostic model that can be applied to canine stifle joint diseases and compared its accuracy with that achieved by veterinarians to verify its potential as a reliable diagn...
Stifle Dog Diseases Joint Diseases Neural Networks, Computer Retrospective Studies Deep Learning Dogs Animals
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Identification of agricultural quarantine materials in passenger's luggage using ion mobility spectroscopy combined with a convolutional neural network.

Analytical methods : advancing methods and applications Nov 24, 2022
As economic globalization intensifies, the recent increase in agricultural products and travelers from abroad has led to an increase in the probability of invasive alien species. A major pathway for invasive alien species is agricultural quarantine m...
Animals Least-Squares Analysis Neural Networks, Computer Quarantine Spectrum Analysis Discriminant Analysis Dogs
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Method to Develop Legs for Underwater Robots: From Multibody Dynamics with Experimental Data to Mechatronic Implementation.

Sensors (Basel, Switzerland) Nov 3, 2022
Exploration of the seabed may be complex, and different parameters must be considered for a robotic system to achieve tasks in this environment, such as soil characteristics, seabed gait, and hydrodynamic force in this extreme environment. This paper...
Torque Biomechanical Phenomena Animals Gait Dogs Robotics Soil
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Exploring behaviours perceived as important for human-Dog bonding and their translation to a robotic platform.

PloS one Sep 28, 2022
To facilitate long-term engagement with social robots, emerging evidence suggests that modelling robots on social animals with whom many people form enduring social bonds-specifically, pet dogs-may be useful. However, scientific understanding of the ...
Robotic Surgical Procedures Emotions Humans Dogs Behavior, Animal Animals Robotics Human-Animal Bond
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Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset.

Scientific data Sep 27, 2022
Due to morphological similarities, the differentiation of histologic sections of cutaneous tumors into individual subtypes can be challenging. Recently, deep learning-based approaches have proven their potential for supporting pathologists in this re...
Neural Networks, Computer Algorithms Dogs Skin Neoplasms Dog Diseases Animals
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An automated deep learning method and novel cardiac index to detect canine cardiomegaly from simple radiography.

Scientific reports Aug 25, 2022
Since most of degenerative canine heart diseases accompany cardiomegaly, early detection of cardiac enlargement is main priority healthcare issue for dogs. In this study, we developed a new deep learning-based radiographic index quantifying canine he...
Animals Deep Learning Dogs Radiography Humans Dog Diseases Heart Cardiomegaly Retrospective Studies
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Morphologic Features and Deep Learning-Based Analysis of Canine Spermatogenic Stages.

Toxicologic pathology Aug 24, 2022
In nonclinical toxicity studies, stage-aware evaluation is often expected to assess drug-induced testicular toxicity. Although stage-aware evaluation does not require identification of specific stages, it is important to understand microscopic featur...
Dogs Spermatogenesis Spermatids Deep Learning Animals Testis Male
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