[HTML][HTML] A quadratic linear-parabolic model-based EEG classification to detect epileptic seizures

A Quintero-Rincón, C d'Giano… - Journal of Biomedical …, 2020 - ncbi.nlm.nih.gov
The two-point central difference is a common algorithm in biological signal processing and
is particularly useful in analyzing physiological signals. In this paper, we develop a model …

A fast robust geometric fitting method for parabolic curves

E Lopez-Rubio, K Thurnhofer-Hemsi… - Pattern Recognition, 2018 - Elsevier
Fitting discrete data obtained by image acquisition devices to a curve is a common task in
many fields of science and engineering. In particular, the parabola is some of the most …

Semi-Quantitative Analysis of DCE-MRI for Classification of the Prostate with and without Cancer

H Deng, N Cai, Y Peng - 2021 6th International Conference on …, 2021 - ieeexplore.ieee.org
In our study, we aim to evaluate the diagnostic performance of semi-quantitative parameters
on prostate tumors. Our dataset includes 47 Asian cases with 26 cases showed no signs of …

Semi-quantitative analysis of prostate perfusion mri by clustering of pre and post contrast enhancement phases

G Samarasinghe, A Sowmya… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
Computer-based analysis is highly effective in information retrieval from Dynamic Contrast
Enhance Magnetic Resonance Images (DCE-MRI) for prostate cancer recognition …

Robust computational intelligence techniques for visual information processing

KK Thurnhofer Hemsi - 2021 - riuma.uma.es
This Ph. D. thesis is about image processing by computational intelligence techniques.
Firstly, a general overview of this book is carried out, where the motivation, the hypothesis …