A comprehensive survey on two and three-dimensional Fourier shape descriptors: biomedical applications
G Valizadeh, F Babapour Mofrad - Archives of Computational Methods in …, 2022 - Springer
Medical image analysis plays an essential role in the diagnosis, management, and
treatment of various diseases. Today, due to the capacity for fast and accurate access to …
treatment of various diseases. Today, due to the capacity for fast and accurate access to …
Classification of normal and diseased liver shapes based on spherical harmonics coefficients
FB Mofrad, RA Zoroofi, AA Tehrani-Fard… - Journal of medical …, 2014 - Springer
Liver-shape analysis and quantification is still an open research subject. Quantitative
assessment of the liver is of clinical importance in various procedures such as diagnosis …
assessment of the liver is of clinical importance in various procedures such as diagnosis …
Application of bernstein polynomial multiwavelets for solving non linear variational problems with moving and fixed boundaries
Background: In this article, an efficient direct method has been proposed in order to solve
physically significant variational problems. The proposed technique finds its basis in …
physically significant variational problems. The proposed technique finds its basis in …
Classification of liver cirrhosis with statistical analysis of texture parameters
HU Janjua, F Andleeb, S Aftab… - … Journal of Optical …, 2017 - physics.journalspub.info
Attempts have been made to study texture parameters for differentiation of the images. This
paper aims at the classification of normal and abnormal (ie cirrhosis) ultrasound liver images …
paper aims at the classification of normal and abnormal (ie cirrhosis) ultrasound liver images …
A Two-step Registration Approach: Application in MRI-based Strain Calculation of the Left Ventricle
G Valizadeh, FB Mofrad… - 2020 27th National and 5th …, 2020 - ieeexplore.ieee.org
Registration and finding anatomical correspondent landmarks amongst the volumetric
images in both inter and intra-subject studies are prevalent challenges, especially in the …
images in both inter and intra-subject studies are prevalent challenges, especially in the …
[PDF][PDF] Classification of Liver Cirrhosis with Statistical Analysis of Texture Parameters
H Ullah, F Andleeb, S Aftab, F Hussain, G Gilanie - IJOS, 2017 - researchgate.net
Attempts have been made to study texture parameters for differentiation of the images. This
paper aims at the classification of normal and abnormal (ie cirrhosis) ultrasound liver images …
paper aims at the classification of normal and abnormal (ie cirrhosis) ultrasound liver images …
Statistical Shape Modeling and Segmentation of the Left Ventricle Endocardium from CMR Images based on Different Anatomical Landmark Alignments
Statistical Shape Modeling is widely used in many applications of cardiac images. Many
efforts have been done to generate optimized Statistical Shape Models (SSMs). In this …
efforts have been done to generate optimized Statistical Shape Models (SSMs). In this …
Feature Extraction, Risky Classifications and Fault Diagnosis on Rolling Bearings of EEG Signals Denoised using Stationary Wavelet Transform of Patient Monitoring …
VR Vellalapalayam, T Ponnusamy… - Current Medical …, 2019 - ingentaconnect.com
Background: One of the primary causes of sleep disorders, depth of anesthesia, coma,
encephalopathy's and brain death in the world is epilepsy. EEG is most often used to …
encephalopathy's and brain death in the world is epilepsy. EEG is most often used to …