Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review
Objectives Medical image analysis practices face challenges that can potentially be
addressed with algorithm-based segmentation tools. In this study, we map the field of …
addressed with algorithm-based segmentation tools. In this study, we map the field of …
Histogram-based gravitational optimization algorithm on single MR modality for automatic brain lesion detection and segmentation
N Nabizadeh, N John, C Wright - Expert systems with applications, 2014 - Elsevier
Magnetic resonance imaging (MRI) is a very effective medical imaging technique for the
clinical diagnosis and monitoring of neurological disorders. Because of intensity similarities …
clinical diagnosis and monitoring of neurological disorders. Because of intensity similarities …
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 …
Taxonomy of Acute Stroke: Imaging, Processing, and Treatment
WL Nowinski - Diagnostics, 2024 - mdpi.com
Stroke management employs a variety of diagnostic imaging modalities, image processing
and analysis methods, and treatment procedures. This work categorizes methods for stroke …
and analysis methods, and treatment procedures. This work categorizes methods for stroke …
A new method for automated high-dimensional lesion segmentation evaluated in vascular injury and applied to the human occipital lobe
Making robust inferences about the functional neuroanatomy of the brain is critically
dependent on experimental techniques that examine the consequences of focal loss of brain …
dependent on experimental techniques that examine the consequences of focal loss of brain …
Ischemic stroke lesion segmentation in multi-spectral MR images with support vector machine classifiers
Automatic segmentation of ischemic stroke lesions in magnetic resonance (MR) images is
important in clinical practice and for neuroscientific trials. The key problem is to detect …
important in clinical practice and for neuroscientific trials. The key problem is to detect …
Automatic detection and quantification of acute cerebral infarct by fuzzy clustering and histographic characterization on diffusion weighted MR imaging and apparent …
Determination of the volumes of acute cerebral infarct in the magnetic resonance imaging
harbors prognostic values. However, semiautomatic method of segmentation is time …
harbors prognostic values. However, semiautomatic method of segmentation is time …
Human brain atlases in stroke management
WL Nowinski - Neuroinformatics, 2020 - Springer
Stroke is a leading cause of death and a major cause of permanent disability. Its
management is demanding because of variety of protocols, imaging modalities, pulse …
management is demanding because of variety of protocols, imaging modalities, pulse …
[图书][B] Automated brain lesion detection and segmentation using magnetic resonance images
N Nabizadeh - 2015 - search.proquest.com
Automated segmentation of brain lesions in magnetic resonance images (MRI) is a difficult
procedure due to the variability and complexity of the location, size, shape, and texture of …
procedure due to the variability and complexity of the location, size, shape, and texture of …
Method and system for anomaly detection in data sets
P Nachev - US Patent 9,633,108, 2017 - Google Patents
(57) ABSTRACT A method and apparatus for detecting and segmenting anomalous data in
an input data set Such as an image is described, which makes use of a normalized distance …
an input data set Such as an image is described, which makes use of a normalized distance …