University of Twente Student Theses
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Continuous representation of kernels used in convolutional neural networks
Jonker, Scott (2023) Continuous representation of kernels used in convolutional neural networks.
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| Abstract: | Within the field of machine learning the research of Convolutional Neural Networks (CNN) has been rapidly progressing. A recent development has been representing the kernels used in the convolutional layers continuously through a separate auxiliary neural network. A practical application of a CNN is in medical imaging, where the neural network is trained to detect micro-bubbles in order to map the vascular network. This work investigates the use of continuous kernel representations for the problem of micro-bubble localization. This is done by training the neural network on a simulated ultrasound signal where the result aims to replicate the corresponding ground truth bubble location. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 31 mathematics, 54 computer science |
| Programme: | Applied Mathematics BSc (56965) |
| Link to this item: | https://purl.utwente.nl/essays/95345 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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