Optimized fuzzy clustering algorithms for brain MRI image segmentation based on local Gaussian probability and anisotropic weight models

T Zhang - International Journal of Pattern Recognition and …, 2018 - World Scientific
Brain Magnetic Resonance Imaging (MRI) image segmentation is one of the critical
technologies of clinical medicine, and is the basis of three-dimensional reconstruction and …

Non-parametric bayesian registration (NParBR) of body tumors in DCE-MRI data

D Pilutti, M Strumia, M Büchert… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The identification of tumors in the internal organs of chest, abdomen, and pelvis anatomic
regions can be performed with the analysis of Dynamic Contrast Enhanced Magnetic …

BrainMRI Enhancement as a Pre-processing: An Evaluation Framework Using Optimal Gamma, Homographic and DWT Based Methods

S Harish, GF Ali Ahammed - … Cybernetics and Automation Control Theory 2, 2019 - Springer
The domain of medical imaging has been extensively studied for various parts of human
bodies. Study on Brain MRI is quite helpful for the diagnosis of brain related diseases. The …

A new method for non-rigid registration of mri images

N Torbati, A Ayatollahi - 2017 Iranian Conference on Electrical …, 2017 - ieeexplore.ieee.org
In this paper, the parametric registration methods based on function expansion theory are
revised and by using the wavelet transform a general and simple framework for non-rigid …

Non-Parametric Bayesian Estimation of Rigid Registration for Multi-Contrast Data in Big Data Analysis

S Hadjidemetriou… - Big Data in Multimodal …, 2019 - api.taylorfrancis.com
The accumulation of diverse data, namely, big data, in a variety of domains including the
biomedical domain is an emerging reality [1, 2]. The latter involves large amounts of …

[PDF][PDF] NOVEL METHODS FOR REGISTRATION OF BINARY IMAGES

P Kotsas - 2014 - kotsas.gr
A novel signal intensity independent technique for two and three-dimensional image
registration based on binary areas and lines was developed and tested using T1-, T2 …

[引用][C] Localisation and characterisation of brain pathology from structural MRI data

M Strumia - 2016 - freidok.uni-freiburg.de
FreiDok plus - Localisation and characterisation of brain pathology from structural MRI data
FreiDok plus Universitätsbibliothek Freiburg de | en : OA Logo {{data.value}} ORCID logo {{inst.sup_no}}{{$last …

[引用][C] Non-Parametric Bayesian Registration (NParBR) on CT Lungs Data: EMPIRE10 Challenge