Simulation of brain tumors in MR images for evaluation of segmentation efficacy
M Prastawa, E Bullitt, G Gerig - Medical image analysis, 2009 - Elsevier
Obtaining validation data and comparison metrics for segmentation of magnetic resonance
images (MRI) are difficult tasks due to the lack of reliable ground truth. This problem is even …
images (MRI) are difficult tasks due to the lack of reliable ground truth. This problem is even …
Synthetic ground truth for validation of brain tumor MRI segmentation
M Prastawa, E Bullitt, G Gerig - International Conference on Medical Image …, 2005 - Springer
Validation and method of comparison for segmentation of magnetic resonance images (MRI)
presenting pathology is a challenging task due to the lack of reliable ground truth. We …
presenting pathology is a challenging task due to the lack of reliable ground truth. We …
Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels
Background Accurate segmentation of brain tumour in magnetic resonance images (MRI) is
a difficult task due to various tumour types. Using information and features from multimodal …
a difficult task due to various tumour types. Using information and features from multimodal …
Machine learning based brain tumour segmentation on limited data using local texture and abnormality
S Bonte, I Goethals, R Van Holen - Computers in biology and medicine, 2018 - Elsevier
Brain tumour segmentation in medical images is a very challenging task due to the large
variety in tumour shape, position, appearance, scanning modalities and scanning …
variety in tumour shape, position, appearance, scanning modalities and scanning …
3D multimodal MRI brain glioma tumor and edema segmentation: a graph cut distribution matching approach
This study investigates a fast distribution-matching, data-driven algorithm for 3D multimodal
MRI brain glioma tumor and edema segmentation in different modalities. We learn non …
MRI brain glioma tumor and edema segmentation in different modalities. We learn non …
Segmentation of brain tissue from magnetic resonance images
Segmentation of medical imagery is a challenging problem due to the complexity of the
images, as well as to the absence of models of the anatomy that fully capture the possible …
images, as well as to the absence of models of the anatomy that fully capture the possible …
Improved EM-based tissue segmentation and partial volume effect quantification in multi-sequence brain MRI
G Dugas-Phocion, MAG Ballester, G Malandain… - … Conference on Medical …, 2004 - Springer
Abstract The Expectation Maximization algorithm is a powerful probabilistic tool for brain
tissue segmentation. The framework is based on the Gaussian mixture model in MRI, and …
tissue segmentation. The framework is based on the Gaussian mixture model in MRI, and …
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI
In this work, we propose a novel method to improve texture based tumor segmentation by
fusing cell density patterns that are generated from tumor growth modeling. To model tumor …
fusing cell density patterns that are generated from tumor growth modeling. To model tumor …
Impact of acquisition protocols and processing streams on tissue segmentation of T1 weighted MR images
The segmentation of T1-weighted images into gray matter (GM), white matter (WM), and
cerebrospinal fluid (CSF) is a fundamental processing step in neuroimaging, the results of …
cerebrospinal fluid (CSF) is a fundamental processing step in neuroimaging, the results of …
A survey of MRI-based medical image analysis for brain tumor studies
MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …
times due to an increased need for efficient and objective evaluation of large amounts of …