AIMC Topic: Dogs

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Study on image data cleaning method of early esophageal cancer based on VGG_NIN neural network.

Scientific reports Aug 22, 2022
In order to clean the mislabeled images in the esophageal endoscopy image data set, we designed a new neural network VGG_NIN. Based on the new neural network structure, we developed a method to clean the mislabeled images in the esophageal endoscopy ...
Humans Neural Networks, Computer Animals Dogs Esophageal Neoplasms Cats China Image Processing, Computer-Assisted Endoscopy, Gastrointestinal
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Employing deep convolutional neural networks for segmenting the medial retropharyngeal lymph nodes in CT studies of dogs.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Jul 25, 2022
While still in its infancy, the application of deep convolutional neural networks in veterinary diagnostic imaging is a rapidly growing field. The preferred deep learning architecture to be employed is convolutional neural networks, as these provide ...
Lymph Nodes Dogs Tomography, X-Ray Computed Neural Networks, Computer Animals Retrospective Studies Image Processing, Computer-Assisted
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Nucleoside Triphosphate Hydrolases Assay in Toxoplasm gondii and Neospora caninum for High-Throughput Screening using a Robot Arm.

Journal of visualized experiments : JoVE Jul 22, 2022
Protozoan parasites infect humans and many warm-blooded animals. Toxoplasma gondii, a major protozoan parasite, is commonly found in HIV-positive patients, organ transplant recipients and pregnant women, resulting in the severe health condition, Toxo...
Neospora Coccidiosis N-Glycosyl Hydrolases Nucleosides High-Throughput Screening Assays Antibodies, Protozoan Hydrolases Humans Polyphosphates Pregnancy Robotics Female Dogs Toxoplasma Animals Cattle
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Adaptive Modular Convolutional Neural Network for Image Recognition.

Sensors (Basel, Switzerland) Jul 22, 2022
Image recognition has long been one of the research hotspots in computer vision tasks. The development of deep learning is rapid in recent years, and convolutional neural networks usually need to be designed with fixed resources. If sufficient resour...
Neural Networks, Computer Animals Cats Haplorhini Birds Image Processing, Computer-Assisted Dogs
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Vision-Based Module for Herding with a Sheepdog Robot.

Sensors (Basel, Switzerland) Jul 16, 2022
Livestock farming is assisted more and more by technological solutions, such as robots. One of the main problems for shepherds is the control and care of livestock in areas difficult to access where grazing animals are attacked by predators such as t...
Animals Wolves Robotics Dogs Predatory Behavior Livestock Agriculture
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Deep learning for necrosis detection using canine perivascular wall tumour whole slide images.

Scientific reports Jun 23, 2022
Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes towards scoring tumour grade which then determines treatment options. However conventional manual assessment suffers from inter-operator reproducibility impactin...
Dogs Necrosis Neoplasms, Connective and Soft Tissue Reproducibility of Results Neural Networks, Computer Animals Deep Learning
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Robot-assisted radical prostatectomy training: Description of a canine cadaveric model.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 9, 2022
BACKGROUND: Assess the relevance of a canine model in robot-assisted radical prostatectomy (RARP) training.
Male Robotics Robotic Surgical Procedures Prostatectomy Humans Prostate Animals Dogs Cadaver
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Comparison of error rates between four pretrained DenseNet convolutional neural network models and 13 board-certified veterinary radiologists when evaluating 15 labels of canine thoracic radiographs.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Feb 8, 2022
Convolutional neural networks (CNNs) are commonly used as artificial intelligence (AI) tools for evaluating radiographs, but published studies testing their performance in veterinary patients are currently lacking. The purpose of this retrospective, ...
Artificial Intelligence Radiography, Thoracic Retrospective Studies Radiologists Animals Dogs Humans Neural Networks, Computer
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Designing Man's New Best Friend: Enhancing Human-Robot Dog Interaction through Dog-Like Framing and Appearance.

Sensors (Basel, Switzerland) Feb 8, 2022
To understand how to improve interactions with dog-like robots, we evaluated the importance of "dog-like" framing and physical appearance on interaction, hypothesizing multiple interactive benefits of each. We assessed whether framing Aibo as a puppy...
Emotions Robotics Dogs Humans Animals Friends
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Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data.

Parasites & vectors Jan 29, 2022
BACKGROUND: Canine babesiosis is an important tick-borne disease in endemic regions. One of the relevant subspecies in Europe is Babesia canis, and it can cause severe clinical signs such as hemolytic anemia. Apart from acute clinical symptoms dogs c...
Machine Learning Hematology Dog Diseases Sensitivity and Specificity Reproducibility of Results Babesia Parasitemia Animals Babesiosis Dogs
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