USAGE OF ARTIFICIAL NEURAL NETWORKS IN THE DIAGNOSIS OF KNEE JOINT DISORDERS
Konrad Witkowski
k.l.p.witkowski@gmail.comSGH Warsaw School of Economics (Poland)
https://orcid.org/0009-0004-2916-8672
Mikołaj Wieczorek
Lublin University of Technology, Department of Electronics and Information Technology (Poland)
https://orcid.org/0000-0002-7879-9727
Abstract
Following article address the issue of automatic knee disorder diagnose with usage of neural networks. We proposed several hybrid neural net architectures which aim to successfully classify abnormality using MRI (magnetic resonance imaging) images acquired from publicly available dataset. To construct such combinations of models we used pretrained Alexnet, Resnet18 and Resnet34 downloaded from Torchvision. Experiments showed that for certain abnormalities our models can achieve up to 90% accuracy.
Keywords:
classification, MRI images, Resnet, AlexnetReferences
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Authors
Konrad Witkowskik.l.p.witkowski@gmail.com
SGH Warsaw School of Economics Poland
https://orcid.org/0009-0004-2916-8672
Authors
Mikołaj WieczorekLublin University of Technology, Department of Electronics and Information Technology Poland
https://orcid.org/0000-0002-7879-9727
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