Preclinical diagnosis of magnetic resonance (MR) brain images via discrete wavelet packet transform with Tsallis entropy and generalized eigenvalue proximal …
Background Developing an accurate computer-aided diagnosis (CAD) system of MR brain
images is essential for medical interpretation and analysis. In this study, we propose a novel …
images is essential for medical interpretation and analysis. In this study, we propose a novel …
Pathological brain detection in MRI scanning by wavelet packet Tsallis entropy and fuzzy support vector machine
An computer-aided diagnosis system of pathological brain detection (PBD) is important for
help physicians interpret and analyze medical images. We proposed a novel automatic PBD …
help physicians interpret and analyze medical images. We proposed a novel automatic PBD …
Pathological brain detection via wavelet packet tsallis entropy and real-coded biogeography-based optimization
(Aim) In order to detect pathological brains in a more efficient way,(Method) we proposed a
novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis …
novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis …
Application of fast curvelet Tsallis entropy and kernel random vector functional link network for automated detection of multiclass brain abnormalities
Binary classification of brain magnetic resonance (MR) images has made remarkable
progress and many automated systems have been developed in the last decade. Multiclass …
progress and many automated systems have been developed in the last decade. Multiclass …
Classification of MRI brain images using DNA genetic algorithms optimized Tsallis entropy and support vector machine
W Zang, Z Wang, D Jiang, X Liu, Z Jiang - Entropy, 2018 - mdpi.com
As a non-invasive diagnostic tool, Magnetic Resonance Imaging (MRI) has been widely
used in the field of brain imaging. The classification of MRI brain image conditions poses …
used in the field of brain imaging. The classification of MRI brain image conditions poses …
Magnetotelluric signal-noise identification and separation based on apen-mse and stomp
J Li, J Cai, Y Peng, X Zhang, C Zhou, G Li, J Tang - Entropy, 2019 - mdpi.com
Natural magnetotelluric signals are extremely weak and susceptible to various types of
noise pollution. To obtain more useful magnetotelluric data for further analysis and research …
noise pollution. To obtain more useful magnetotelluric data for further analysis and research …
Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment
VP Vianna, LO Murta - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Objective. Mutual information (MI) is consolidated as a robust similarity metric often used for
medical image registration. Although MI provides a robust registration, it usually fails when …
medical image registration. Although MI provides a robust registration, it usually fails when …
Automatic analysis of malaria infected red blood cell digitized microscope images
H Abdallahi - 2016 - discovery.ucl.ac.uk
Malaria is one of the three most serious diseases worldwide, affecting millions each year,
mainly in the tropics where the most serious illnesses are caused by Plasmodium …
mainly in the tropics where the most serious illnesses are caused by Plasmodium …
[PDF][PDF] Complex systems method approach to the ECG analysis
Q-statistics combined with multi-fractal structure investigation and log periodicity evidence
have been used here in the analysis of time series of ECG records for a common pathology …
have been used here in the analysis of time series of ECG records for a common pathology …