[HTML][HTML] A review on brain tumor segmentation based on deep learning methods with federated learning techniques

MF Ahamed, MM Hossain, M Nahiduzzaman… - … Medical Imaging and …, 2023 - Elsevier
Brain tumors have become a severe medical complication in recent years due to their high
fatality rate. Radiologists segment the tumor manually, which is time-consuming, error …

Brain tumor segmentation based on deep learning's feature representation

I Aboussaleh, J Riffi, AM Mahraz, H Tairi - Journal of Imaging, 2021 - mdpi.com
Brain tumor is considered as one of the most serious causes of death in the world. Thus, it is
very important to detect it as early as possible. In order to predict and segment the tumor …

Deep learning based brain tumor segmentation: a survey

Z Liu, L Tong, L Chen, Z Jiang, F Zhou, Q Zhang… - Complex & intelligent …, 2023 - Springer
Brain tumor segmentation is one of the most challenging problems in medical image
analysis. The goal of brain tumor segmentation is to generate accurate delineation of brain …

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 …

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 …

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

X Zhao, Y Wu, G Song, Z Li, Y Zhang, Y Fan - Medical image analysis, 2018 - Elsevier
Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis,
treatment planning, and treatment outcome evaluation. Build upon successful deep learning …

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 …

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 …

A neural network based deep learning approach for efficient segmentation of brain tumor medical image data

A Veeramuthu, S Meenakshi… - Journal of Intelligent & …, 2019 - content.iospress.com
Brain tumor image segmentation is process of locating the interesting area in terms of
objects, like tumor and extracting it for the further process of the image and getting the …