AIMC Topic: Dog Diseases
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Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images.
Veterinary pathology
Jul 29, 2023
Microscopic evaluation of hematoxylin and eosin-stained slides is still the diagnostic gold standard for a variety of diseases, including neoplasms. Nevertheless, intra- and interrater variability are well documented among pathologists. So far, compu...
Preliminary experience with robotic cholecystectomy illustrates feasibility in a canine cadaver model.
American journal of veterinary research
Jul 28, 2023
OBJECTIVE: To evaluate the feasibility and describe the relevant differences between robotic cholecystectomy (RC) and laparoscopic cholecystectomy in a canine model.
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...
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...
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...
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...
Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography.
Veterinary and comparative oncology
Jul 5, 2021
Soft tissue sarcoma (STS) is a locally aggressive and infiltrative tumour in dogs. Surgical resection is the treatment of choice for local tumour control. Currently, post-operative pathology is performed for surgical margin assessment. Spectral-domai...
Computerized assisted evaluation system for canine cardiomegaly via key points detection with deep learning.
Preventive veterinary medicine
Jun 5, 2021
Cardiomegaly is the main imaging finding for canine heart diseases. There are many advances in the field of medical diagnosing based on imaging with deep learning for human being. However there are also increasing realization of the potential of usin...
Machine-learning based prediction of Cushing's syndrome in dogs attending UK primary-care veterinary practice.
Scientific reports
Apr 27, 2021
Cushing's syndrome is an endocrine disease in dogs that negatively impacts upon the quality-of-life of affected animals. Cushing's syndrome can be a challenging diagnosis to confirm, therefore new methods to aid diagnosis are warranted. Four machine-...
A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things.
Infectious diseases of poverty
Apr 13, 2021
BACKGROUND: As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the ...
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