[HTML][HTML] A review on brain tumor segmentation based on deep learning methods with federated learning techniques
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 …
fatality rate. Radiologists segment the tumor manually, which is time-consuming, error …
Glioma brain tumor segmentation using deep learning: A review
Brain tumours are observed as the tenth major cause of death in the world, accounting for 85-
90% of all primary central nervous system tumors. Every year, this fatal disease kills tens of …
90% of all primary central nervous system tumors. Every year, this fatal disease kills tens of …
[HTML][HTML] A deep-learning model with learnable group convolution and deep supervision for brain tumor segmentation
H Liu, Q Li, IC Wang - Mathematical Problems in Engineering, 2021 - hindawi.com
The segmentation of brain tumors in medical images is a crucial step of clinical treatment.
Manual segmentation is time consuming and labor intensive, and existing automatic …
Manual segmentation is time consuming and labor intensive, and existing automatic …
Brain tumor segmentation based on deep learning's feature representation
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 …
very important to detect it as early as possible. In order to predict and segment the tumor …
Review of MRI-based brain tumor image segmentation using deep learning methods
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 …
of brain tumors plays an important role in improving treatment possibilities and increases the …
Deep learning based brain tumor segmentation: a survey
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 …
analysis. The goal of brain tumor segmentation is to generate accurate delineation of brain …
Brain tumor automatic segmentation using fully convolutional networks
S Cui, L Mao, S Xiong - Journal of Medical Imaging and Health …, 2017 - ingentaconnect.com
Brain tumor segmentation has the most important significance in tumor diagnose, analysis,
and treatment. Magnetic resonance imaging (MRI) provides rich and valuable information for …
and treatment. Magnetic resonance imaging (MRI) provides rich and valuable information for …
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 …
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …
Automatic brain tumour segmentation using fully convolution network and transfer learning
S Alkassar, MAM Abdullah… - 2019 2nd international …, 2019 - ieeexplore.ieee.org
Brain tumor segmentation is a challenging issue due to the heterogeneous appearance,
shape, and intensity of tumors. In this paper, we present an automatic method for brain tumor …
shape, and intensity of tumors. In this paper, we present an automatic method for brain tumor …
Deep learning for brain tumor segmentation
Brain tumors are considered to be one of the most lethal types of tumor. Accurate
segmentation of brain MRI is an important task for the analysis of neurological diseases. The …
segmentation of brain MRI is an important task for the analysis of neurological diseases. The …