Brain MRI: tumor evaluation

RJ Young, EA Knopp - … Imaging: An Official Journal of the …, 2006 - Wiley Online Library
The designation “brain tumors” is commonly applied to a wide variety of intracranial mass
lesions that are distinct in their location, biology, treatment, and prognosis. Since many of …

Handcrafted deep-feature-based brain tumor detection and classification using mri images

P Mohan, S Veerappampalayam Easwaramoorthy… - Electronics, 2022 - mdpi.com
An abnormal growth of cells in the brain, often known as a brain tumor, has the potential to
develop into cancer. Carcinogenesis of glial cells in the brain and spinal cord is the root …

[HTML][HTML] Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI

N Sauwen, M Acou, S Van Cauter, DM Sima… - NeuroImage: Clinical, 2016 - Elsevier
Tumor segmentation is a particularly challenging task in high-grade gliomas (HGGs), as they
are among the most heterogeneous tumors in oncology. An accurate delineation of the …

Survey on brain tumor segmentation and feature extraction of MR images

S Saman, S Jamjala Narayanan - International journal of multimedia …, 2019 - Springer
Brain tumor analysis plays an important role in medical imaging applications and in
delivering a huge amount of anatomical and functional information, which increases and …

Review of MRI-based brain tumor image segmentation using deep learning methods

A Işın, C Direkoğlu, M Şah - Procedia Computer Science, 2016 - Elsevier
Brain tumor segmentation is an important task in medical image processing. Early diagnosis
of brain tumors plays an important role in improving treatment possibilities and increases the …

Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review

P Jyothi, AR Singh - Artificial intelligence review, 2023 - Springer
Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …

GLISTRboost: combining multimodal MRI segmentation, registration, and biophysical tumor growth modeling with gradient boosting machines for glioma …

S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari… - … Sclerosis, Stroke and …, 2016 - Springer
We present an approach for segmenting low-and high-grade gliomas in multimodal
magnetic resonance imaging volumes. The proposed approach is based on a hybrid …

A multi-centre, web-accessible and quality control-checked database of in vivo MR spectra of brain tumour patients

M Julià-Sapé, D Acosta, M Mier, C Arùs… - … Resonance Materials in …, 2006 - Springer
Abstract Objective: To describe an Internet-accessible database that contains validated in
vivo MR spectra and clinical data of brain tumour patients. Materials and methods: All data …

A survey of brain tumor segmentation and classification algorithms

ES Biratu, F Schwenker, YM Ayano, TG Debelee - Journal of Imaging, 2021 - mdpi.com
A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …

[PDF][PDF] Brain tumor detection based on multi-parameter MRI image analysis

R Ratan, S Sharma, SK Sharma - ICGST-GVIP Journal, 2009 - researchgate.net
Segmentation of anatomical regions of the brain is the fundamental problem in medical
image analysis. While surveying the literature, it has been found out that no work has been …