Biomedical image classification algorithms evaluation
Stella Vetova · AIP conference proceedings · 2022
The object of the following paper is a concept for biomedical image classification. On its base, two alorithms for Covid-19 image classification are designed. For the image decomposition and feature vectors a wavelet transform is used and in particular the Dual Tree Complex Wavelet Transform. For the first algorithm, wavelet transform is performed at the third level and the second algorithm is designed at the second transform level. A comparative analysis on both algorithms is accomplished based on the evaluation metrics accuracy, precision and recall. The results are depicted graphically.