Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
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 …
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
[HTML][HTML] Anatomy-aided deep learning for medical image segmentation: a review
Deep learning (DL) has become widely used for medical image segmentation in recent
years. However, despite these advances, there are still problems for which DL-based …
years. However, despite these advances, there are still problems for which DL-based …
[HTML][HTML] Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images
A brain tumor is an uncontrolled growth of cancerous cells in the brain. Accurate
segmentation and classification of tumors are critical for subsequent prognosis and …
segmentation and classification of tumors are critical for subsequent prognosis and …
ERV-Net: An efficient 3D residual neural network for brain tumor segmentation
Brain tumors are the most aggressive and mortal cancers, which lead to short life
expectancy. A reliable and efficient automatic or semi-automatic segmentation method is …
expectancy. A reliable and efficient automatic or semi-automatic segmentation method is …
[HTML][HTML] 3D-MRI brain tumor detection model using modified version of level set segmentation based on dragonfly algorithm
Accurate brain tumor segmentation from 3D Magnetic Resonance Imaging (3D-MRI) is an
important method for obtaining information required for diagnosis and disease therapy …
important method for obtaining information required for diagnosis and disease therapy …
[PDF][PDF] Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach.
A brain tumor is a lethal neurological disease that affects the average performance of the
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …
brain and can be fatal. In India, around 15 million cases are diagnosed yearly. To mitigate …
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 …
Glioma survival analysis empowered with data engineering—a survey
Survival analysis is a critical task in glioma patient management due to the inter and intra
tumor heterogeneity. In clinical practice, clinicians estimate the survival with their …
tumor heterogeneity. In clinical practice, clinicians estimate the survival with their …
[HTML][HTML] Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with
a low survival rate mostly due to the difficulties in early detection. Medical professionals …
a low survival rate mostly due to the difficulties in early detection. Medical professionals …
[HTML][HTML] 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 …
(brain) tumor accurately by MRI images is essential in medical image processing …