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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.

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Metadaten
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):License LogoUrheberrechtlich geschützt