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 …
State of the art survey on MRI brain tumor segmentation
N Gordillo, E Montseny, P Sobrevilla - Magnetic resonance imaging, 2013 - Elsevier
Brain tumor segmentation consists of separating the different tumor tissues (solid or active
tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM) …
tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM) …
A survey of MRI-based brain tumor segmentation methods
Brain tumor segmentation aims to separate the different tumor tissues such as active cells,
necrotic core, and edema from normal brain tissues of White Matter (WM), Gray Matter (GM) …
necrotic core, and edema from normal brain tissues of White Matter (WM), Gray Matter (GM) …
A survey on brain tumor detection techniques for MR images
PK Chahal, S Pandey, S Goel - Multimedia Tools and Applications, 2020 - Springer
One of the most crucial tasks in any brain tumor detection system is the isolation of abnormal
tissues from normal brain tissues. Interestingly, domain of brain tumor analysis has …
tissues from normal brain tissues. Interestingly, domain of brain tumor analysis has …
Dual-force convolutional neural networks for accurate brain tumor segmentation
Brain tumor segmentation from Magnetic Resonance Imaging scans is vital for both the
diagnosis and treatment of brain cancers. It is widely accepted that accurate segmentation …
diagnosis and treatment of brain cancers. It is widely accepted that accurate segmentation …
Deep and statistical learning in biomedical imaging: State of the art in 3D MRI brain tumor segmentation
KRM Fernando, CP Tsokos - Information Fusion, 2023 - Elsevier
Clinical diagnosis and treatment decisions rely upon the integration of patient-specific data
with clinical reasoning. Cancer presents a unique context that influences treatment …
with clinical reasoning. Cancer presents a unique context that influences treatment …
Multiscale modeling for image analysis of brain tumor studies
Image-based modeling of tumor growth combines methods from cancer simulation and
medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas …
medical imaging. In this context, we present a novel approach to adapt a healthy brain atlas …
Brain tumor segmentation based on region of interest-aided localization and segmentation U-Net
S Li, J Liu, Z Song - International Journal of Machine Learning and …, 2022 - Springer
Since magnetic resonance imaging (MRI) has superior soft tissue contrast, contouring
(brain) tumor accurately by MRI images is essential in medical image processing …
(brain) tumor accurately by MRI images is essential in medical image processing …
A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
S Krishnapriya, Y Karuna - Health and Technology, 2023 - Springer
Abstract Purpose Structural Magnetic Resonance Imaging (MRI) of the brain is an effective
way to study its internal structure. Identifying and classifying brain malignancies is a difficult …
way to study its internal structure. Identifying and classifying brain malignancies is a difficult …
Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm
N Nabizadeh, M Kubat - Expert systems with applications, 2017 - Elsevier
Automatic detection of brain tumors in single-spectral magnetic resonance images is a
challenging task. Existing techniques suffer from inadequate performance, dependence on …
challenging task. Existing techniques suffer from inadequate performance, dependence on …