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Cell segmentation using convolutional neural networks
Hrdličková, Alžběta ; Chmelík, Jiří (referee) ; Vičar, Tomáš (advisor)
This work examines the use of convolutional neural networks with a focus on semantic and instance segmentation of cells from microscopic images. The theoretical part contains a description of deep neural networks and a summary of widely used convolutional architectures for image segmentation. The practical part of the work is devoted to the creation of a convolutional neural network model based on the U-Net architecture. It also contains cell segmentation of predicted images using three methods, namely thresholding, the watershed and the random walker.
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Kinetic and kinematic gait analysis using VICON system
Hrdličková, Alžběta ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
The Vicon optoelectronic system can be used to analyze human walking. This measurement greatly helps to diagnose problems with the motion apparatus. This work deals with the use of this system for the measurement of kinematic and kinetic values of joints for lower body model. The main aim of the bachelor thesis is to compare the results of healthy patients and patients with cerebral palsy. The theoretical part deals with the description of the gait cycle from kinematics and kinetics, and also description of the device for the analysis. In the practical part, automatic detection of values is proposed, which were evaluated, compared and discussed in the last part.
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Cell segmentation using convolutional neural networks
Hrdličková, Alžběta ; Chmelík, Jiří (referee) ; Vičar, Tomáš (advisor)
This work examines the use of convolutional neural networks with a focus on semantic and instance segmentation of cells from microscopic images. The theoretical part contains a description of deep neural networks and a summary of widely used convolutional architectures for image segmentation. The practical part of the work is devoted to the creation of a convolutional neural network model based on the U-Net architecture. It also contains cell segmentation of predicted images using three methods, namely thresholding, the watershed and the random walker.
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Kinetic and kinematic gait analysis using VICON system
Hrdličková, Alžběta ; Mézl, Martin (referee) ; Svozilová, Veronika (advisor)
The Vicon optoelectronic system can be used to analyze human walking. This measurement greatly helps to diagnose problems with the motion apparatus. This work deals with the use of this system for the measurement of kinematic and kinetic values of joints for lower body model. The main aim of the bachelor thesis is to compare the results of healthy patients and patients with cerebral palsy. The theoretical part deals with the description of the gait cycle from kinematics and kinetics, and also description of the device for the analysis. In the practical part, automatic detection of values is proposed, which were evaluated, compared and discussed in the last part.
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