Comparison of convolutional neural network with standard neural networks by applying manual signal preprocessing using the example of histopathological cancer detection
- Convolutional Neural network (CNN) has been one of most powerful and popular preprocessing techniques employed for image classification problems. Here, we use other signal processing techniques like Fourier transform and wavelet transform to preprocess the images in conjunction with different classifiers like MLP, LVQ, GLVQ and GMLVQ and compare its performance with CNN.
| Author: | Aradhna Mishra |
|---|---|
| Advisor: | Thomas Villmann, Marika Kaden |
| Document Type: | Master's Thesis |
| Language: | English |
| Year of Completion: | 2020 |
| Granting Institution: | Hochschule Mittweida |
| Release Date: | 2023/01/19 |
| GND Keyword: | Neuronales Netz |
| Note: | Printexemplar Präsenzbestand |
| Institutes: | Angewandte Computer‐ und Biowissenschaften |
| DDC classes: | 006.32 Neuronales Netz |
| Open Access: | Innerhalb der Hochschule |
| Licence (German): |  Urheberrechtlich geschützt |
