5 Result(s)
within
Aleksandr M. Sinitca
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Article
Open AccessMicroscopy Image Dataset for Deep Learning-Based Quantitative Assessment of Pulmonary Vascular Changes
Pulmonary hypertension (PH) is a syndrome complex that accompanies a number of diseases of different etiologies, associated with basic mechanisms of structural and functional changes of the pulmonary circulati...
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Article
Open AccessBrightfield vs Fluorescent Staining Dataset–A Test Bed Image Set for Machine Learning based Virtual Staining
Differential fluorescent staining is an effective tool widely adopted for the visualization, segmentation and quantification of cells and cellular substructures as a part of standard microscopic imaging protoc...
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Chapter and Conference Paper
No-Reference Metrics for Images Quality Estimation in a Face Recognition Task
No-reference metrics (BRISQUE, NIQE, PIQE) and full-reference metrics (PSNR, SSIM) for face recognition quality estimation are presented in this paper. Different noise types are considered: gaussian and salt &...
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Chapter and Conference Paper
Automatic Estimation of Dog Age: The DogAge Dataset and Challenge
Automatic age estimation is a challenging problem attracting attention of the computer vision and pattern recognition communities due to its many practical applications. Artificial neural networks, such as CNN...
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Chapter and Conference Paper
Analysis of Dogs’ Sleep Patterns Using Convolutional Neural Networks
Video-based analysis is one of the most important tools of animal behavior and animal welfare scientists. While automatic analysis systems exist for many species, this problem has not yet been adequately addre...
