AIMC Topic: Cardiomegaly

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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...
Cardiomegaly Reference Values Dogs Dog Diseases Animals Deep Learning Heart
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Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods.

Acta radiologica (Stockholm, Sweden : 1987) Nov 17, 2020
BACKGROUND: Cardiomegaly is a relatively common incidental finding on chest X-rays; if left untreated, it can result in significant complications. Using Artificial Intelligence for diagnosing cardiomegaly could be beneficial, as this pathology may be...
Artificial Intelligence Machine Learning Humans Cross-Sectional Studies Logistic Models Predictive Value of Tests Algorithms Sensitivity and Specificity Radiography, Thoracic Datasets as Topic Reference Standards Feasibility Studies Cardiomegaly
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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...
Radiography, Thoracic Deep Learning Dogs Dog Diseases Cardiomegaly Retrospective Studies Animals Neural Networks, Computer
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ACRnet: Adaptive Cross-transfer Residual neural network for chest X-ray images discrimination of the cardiothoracic diseases.

Mathematical biosciences and engineering : MBE May 7, 2022
Cardiothoracic diseases are a serious threat to human health and chest X-ray image is a great reference in diagnosis and treatment. At present, it has been a research hot-spot how to recognize chest X-ray image automatically and exactly by the comput...
Cardiomegaly X-Rays Humans Emphysema Neural Networks, Computer
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aqueous extract attenuates isoproterenol-induced cardiac hypertrophy through the ERK signalling pathway.

Pharmaceutical biology Dec 1, 2020
CONTEXT: The pharmacological functions of Wall. ex Lindl. (Orchidaceae) in cardiac hypertrophy remains unclear.
Cardiomegaly Myocytes, Cardiac Fibrosis Rats Signal Transduction Myocardium Rats, Sprague-Dawley MAP Kinase Signaling System Male Female Heart Myoblasts Plant Extracts Dendrobium Animals Isoproterenol Cell Line
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CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
In this paper, we present an automated procedure to determine the presence of cardiomegaly on chest X-ray image based on deep learning. The proposed algorithm CardioXNet uses deep learning methods U-NET and cardiothoracic ratio for diagnosis of cardi...
Cardiomegaly Humans Algorithms Deep Learning Neural Networks, Computer
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Improve the diagnosis of atrial hypertrophy with the local discriminative support vector machine.

Bio-medical materials and engineering Jan 1, 2015
Computer-aided diagnosis (CAD) approaches succeed in detecting a number of diseases, however, they are not good at addressing atrial hypertrophy disease due to the lack of training data. Support Vector Machine (SVM) is very popular in few CAD solutio...
Sensitivity and Specificity Diagnosis, Computer-Assisted Electrocardiography Support Vector Machine Algorithms Humans Pattern Recognition, Automated Reproducibility of Results Hypertrophy Heart Atria Discriminant Analysis Cardiomegaly
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