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 …

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 …

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 …

A survey of methods for brain tumor segmentation-based MRI images

YMA Mohammed, S El Garouani… - … of Computational Design …, 2023 - academic.oup.com
Brain imaging techniques play an important role in determining the causes of brain cell
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …

Deep learning neural networks for medical image segmentation of brain tumours for diagnosis: a recent review and taxonomy

S Devunooru, A Alsadoon, PWC Chandana… - Journal of Ambient …, 2021 - Springer
Brain tumour identification with traditional magnetic resonance imaging (MRI) tends to be
time-consuming and in most cases, reading of the resulting images by human agents is …

Machine learning and deep learning for brain tumor MRI image segmentation

MKH Khan, W Guo, J Liu, F Dong, Z Li… - Experimental …, 2023 - journals.sagepub.com
Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical
for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic …

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

R Ranjbarzadeh, A Caputo, EB Tirkolaee… - Computers in biology …, 2023 - Elsevier
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

A comprehensive review on brain tumor segmentation and classification of MRI images

CS Rao, K Karunakara - Multimedia Tools and Applications, 2021 - Springer
In the analysis of medical images, one of the challenging tasks is the recognition of brain
tumours via medical resonance images (MRIs). The diagnosis process is still tedious due to …

Brain tumor segmentation using JGate-AttResUNet–A novel deep learning approach

T Ruba, R Tamilselvi, MP Beham - Biomedical Signal Processing and …, 2023 - Elsevier
Segmenting brain tumours in medical imaging is a crucial job. The ability to improve
treatment options and boost patient survival rates depends on the early diagnosis of brain …

Brain tumor segmentation from MRI images using handcrafted convolutional neural network

F Ullah, M Nadeem, M Abrar, M Al-Razgan, T Alfakih… - Diagnostics, 2023 - mdpi.com
Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the
diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research …