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http://dx.doi.org/10.1590/S1677-5538.IBJU.2019.01.02 | DOI Listing |
Sensors (Basel)
January 2025
Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.
To address the challenges of missed detections caused by insufficient shape and texture features and blurred boundaries in existing detection methods, this paper introduces a novel moving vehicle detection approach for satellite videos. The proposed method leverages frame difference and convolution to effectively integrate spatiotemporal information. First, a frame difference module (FDM) is designed, combining frame difference and convolution.
View Article and Find Full Text PDFMultimed Man Cardiothorac Surg
January 2025
Department of Cardiothoracic Surgery, Faculty of Medicine, Mansoura University Mansoura, Egypt.
The Ross procedure continues to be the best procedure to address unrepairable aortic valve pathology, especially in young adults. The Achilles heel of this procedure has been aortic root dilation and the potential need for a reoperation that may be associated with slightly increased risks in addition to the need for intervention on the pulmonary outflow tract. Modifying the Ross procedure by autograft inclusion inside a Dacron graft seems to have the potential advantage of stabilizing the autograft diameter, which may be associated with improved durability and decrease the need for future intervention.
View Article and Find Full Text PDFIndian J Ophthalmol
February 2025
Department of Oculoplasty and Oncology Services (Dr. Rajendra Prasad Centre for Ophthalmic Sciences), AIIMS, New Delhi, India.
Background: Involution or aging is the most common cause of lower eyelid entropion (in-turning of eyelid margin) in the elderly population. Various pathomechanisms have been postulated for its occurrence. Aging leads to laxity of tissues and loss of muscle tone.
View Article and Find Full Text PDFJ Imaging
January 2025
Department of Ophthalmology, General University Hospital of Alexandroupolis, 68131 Alexandroupolis, Greece.
Blink detection is considered a useful indicator both for clinical conditions and drowsiness state. In this work, we propose and compare deep learning architectures for the task of detecting blinks in video frame sequences. The first step is the training and application of an eye detector that extracts the eye regions from each video frame.
View Article and Find Full Text PDFJ Thorac Cardiovasc Surg
January 2025
McGill University Health Center, Faculty of Medicine, McGill University, Division of Cardiac Surgery, Department of Surgery, Montreal, Quebec, Canada.
Objective(s): We conduct a comparative study that employs the use of multiple dynamic deep learning algorithms to develop predictive models with video-based echocardiographic images using sample size determination as a key variable to assess optimal performance metrics.
Methods: Our study compares performance of 3D convolutional neural networks, video vision transformers, and hybrid convolutional neural networks and Long Short-Term Memory models within both supervised and semi-supervised domains using variable sample sizes.
Results: For supervised learning, the ResNet3D model achieved the lowest Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) across all training set sizes (200, 400, and 800-video datasets), with the best performance observed on the 800-video training set (MAE: 7.
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