AIMC Topic: Dog Diseases

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Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm.

Parasites & vectors Jan 29, 2021
BACKGROUND: Fecal examinations in pet cats and dogs are key components of routine veterinary practice; however, their accuracy is influenced by diagnostic methodologies and the experience level of personnel performing the tests. The VETSCAN IMAGYST s...
Dog Diseases Centrifugation Diagnostic Tests, Routine Cats Animals Algorithms Deep Learning Sensitivity and Specificity Feces Ancylostoma Dogs Toxocara Hospitals, Animal Oocysts Parasitic Diseases, Animal Cat Diseases Parasite Egg Count Parasites Giardia
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Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm.

Parasites & vectors Jul 11, 2020
BACKGROUND: Fecal examination is an important component of routine companion animal wellness exams. Sensitivity and specificity of fecal examinations, however, are influenced by sample preparation methodologies and the level of training and experienc...
Parasite Egg Count Ancylostoma Dogs Helminthiasis, Animal Taenia Dog Diseases Toxocara Sensitivity and Specificity Cats Trichuris Animals Cat Diseases Deep Learning Feces
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Use of deep learning to detect cardiomegaly on thoracic radiographs in dogs.

Veterinary journal (London, England : 1997) Jul 7, 2020
The purpose of this study was to develop a computer-aided detection (CAD) device based on convolutional neural networks (CNNs) to detect cardiomegaly from plain radiographs in dogs. Right lateral chest radiographs (n = 1465) were retrospectively sele...
Deep Learning Dogs Dog Diseases Cardiomegaly Radiography, Thoracic Neural Networks, Computer Retrospective Studies Animals
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First robot-assisted radical prostatectomy in a client-owned Bernese mountain dog with prostatic adenocarcinoma.

Veterinary surgery : VS Jun 17, 2020
OBJECTIVE: To describe robot-assisted radical prostatectomy (RARP) and report the short-term outcome of a dog with prostatic cancer treated with RARP.
Urinary Incontinence Animals Male Adenocarcinoma Prostatic Neoplasms Recovery of Function Dogs Robotics Dog Diseases Postoperative Complications Prostatectomy Treatment Outcome
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Machine learning-based analyses support the existence of species complexes for and .

Parasitology Jun 16, 2020
Human strongyloidiasis is a serious disease mostly attributable to Strongyloides stercoralis and to a lesser extent Strongyloides fuelleborni, a parasite mainly of non-human primates. The role of animals as reservoirs of human-infecting Strongyloides...
Electron Transport Complex IV Genes, Helminth Strongyloides Strongyloides stercoralis Multilocus Sequence Typing Disease Reservoirs Primates Genetic Speciation Strongyloidiasis Phylogeny Feces Genotype Computational Biology Dogs Dog Diseases Haplotypes RNA, Ribosomal, 18S Humans Machine Learning Animals
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Sperm Tail Defects and Abnormal Testicular Blood Flow in a Beagle Dog: A Case Report.

Topics in companion animal medicine Nov 8, 2019
A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal morphology, especially sperm tail defects. Although libido and semen volume were normal, ejaculates showed asthenospermia, oligozoospermia, and terat...
Sperm Tail Semen Analysis Ultrasonography, Doppler Animals Spermatozoa Male Dogs Testosterone Dog Diseases Testis
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CNN-based diagnosis models for canine ulcerative keratitis.

Scientific reports Oct 2, 2019
The purpose of this methodological study was to develop a convolutional neural network (CNN), which is a recently developed deep-learning-based image recognition method, to determine corneal ulcer severity in dogs. The CNN model was trained with imag...
Pattern Recognition, Automated Software Corneal Ulcer Retrospective Studies Female Dogs Male Cornea Dog Diseases Severity of Illness Index Animals Models, Biological Deep Learning Datasets as Topic Image Processing, Computer-Assisted
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Using machine learning to understand neuromorphological change and image-based biomarker identification in Cavalier King Charles Spaniels with Chiari-like malformation-associated pain and syringomyelia.

Journal of veterinary internal medicine Sep 24, 2019
BACKGROUND: Chiari-like malformation (CM) is a complex malformation of the skull and cranial cervical vertebrae that potentially results in pain and secondary syringomyelia (SM). Chiari-like malformation-associated pain (CM-P) can be challenging to d...
Pain Arnold-Chiari Malformation Syringomyelia ROC Curve Area Under Curve Dogs Dog Diseases Female Sensitivity and Specificity Animals Male Machine Learning Biomarkers Retrospective Studies
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Machine learning algorithm as a diagnostic tool for hypoadrenocorticism in dogs.

Domestic animal endocrinology Sep 16, 2019
Canine hypoadrenocorticism (CHA) is a life-threatening condition that affects approximately 3 of 1,000 dogs. It has a wide array of clinical signs and is known to mimic other disease processes, including kidney and gastrointestinal diseases, creating...
Machine Learning Algorithms Female Dog Diseases Animals Addison Disease Male Dogs
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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...
Brain Neoplasms Animals Image Processing, Computer-Assisted Glioma Neural Networks, Computer Machine Learning Image Interpretation, Computer-Assisted Meningioma Magnetic Resonance Imaging Diagnosis, Differential Dogs Dog Diseases
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