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National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Segmentation of Hidden P Waves Using Deep Learning Methods
 Boudová, Markéta ; Ronzhina, Marina (referee) ; Hejč, Jakub (advisor)
The aim of this thesis is segmentation of P waves in ECG signals. The theoretical part of the thesis describes the physiology of the heart and the basics of deep learning methods. Preprocessing of the signals is performed and neural network U-Net is implemented in the Python software environment in the practical part. Afterwards, optimization of network architecture is performed in order to reduce model complexity. Lastly the success rate of the model is evaluated.
Detailed record
Segmentation of cells in images from high-speed digital camera
 Boudová, Markéta ; Čmiel, Vratislav (referee) ; Odstrčilík, Jan (advisor)
The first part of this thesis is dealing with topic of microscopic techniques focusing on monitoring of cardiomyocytes. Techniques used for image segmentation are described in the second part. The practical part is about image segmentation of six records. The results are presented and discussed. The contraction functions are described in the final part.
Detailed record
Segmentation of Hidden P Waves Using Deep Learning Methods
 Boudová, Markéta ; Ronzhina, Marina (referee) ; Hejč, Jakub (advisor)
The aim of this thesis is segmentation of P waves in ECG signals. The theoretical part of the thesis describes the physiology of the heart and the basics of deep learning methods. Preprocessing of the signals is performed and neural network U-Net is implemented in the Python software environment in the practical part. Afterwards, optimization of network architecture is performed in order to reduce model complexity. Lastly the success rate of the model is evaluated.
Detailed record
Segmentation of cells in images from high-speed digital camera
 Boudová, Markéta ; Čmiel, Vratislav (referee) ; Odstrčilík, Jan (advisor)
The first part of this thesis is dealing with topic of microscopic techniques focusing on monitoring of cardiomyocytes. Techniques used for image segmentation are described in the second part. The practical part is about image segmentation of six records. The results are presented and discussed. The contraction functions are described in the final part.
Detailed record

See also: similar author names
3 BOUDOVÁ, Michala
2 BOUDOVÁ, Miroslava
1 BOUDOVÁ, Monika
1 Boudová, Martina
3 Boudová, Michaela
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