An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review
Background Artificial intelligence (AI) has become a prominent technique for medical
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …
Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019
The past few years have witnessed a significant increase in medical cases related to brain
tumors, making it the 10th most common form of tumor affecting children and adults alike …
tumors, making it the 10th most common form of tumor affecting children and adults alike …
Deep CNN for brain tumor classification
Brain tumor represents one of the most fatal cancers around the world. It is common cancer
in adults and children. It has the lowest survival rate and various types depending on their …
in adults and children. It has the lowest survival rate and various types depending on their …
A deep learning-based framework for automatic brain tumors classification using transfer learning
Brain tumors are the most destructive disease, leading to a very short life expectancy in their
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
A deep learning model based on concatenation approach for the diagnosis of brain tumor
Brain tumor is a deadly disease and its classification is a challenging task for radiologists
because of the heterogeneous nature of the tumor cells. Recently, computer-aided …
because of the heterogeneous nature of the tumor cells. Recently, computer-aided …
A survey of brain tumor segmentation and classification algorithms
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 …
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
Brain tumor and glioma grade classification using Gaussian convolutional neural network
Understanding brain diseases such as categorizing Brain-Tumor (BT) is critical to assess the
tumors and facilitate the patient with proper cure as per their categorizations. Numerous …
tumors and facilitate the patient with proper cure as per their categorizations. Numerous …
dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI
Glioma is the most prevalent and dangerous type of brain tumor which can be life-
threatening when its grade is high. The early detection of these tumors can improve and …
threatening when its grade is high. The early detection of these tumors can improve and …
Deep learning for brain tumor segmentation: a survey of state-of-the-art
Quantitative analysis of the brain tumors provides valuable information for understanding the
tumor characteristics and treatment planning better. The accurate segmentation of lesions …
tumor characteristics and treatment planning better. The accurate segmentation of lesions …
An effective approach to detect and identify brain tumors using transfer learning
Brain tumors are considered one of the most serious, prominent and life-threatening
diseases globally. Brain tumors cause thousands of deaths every year around the globe …
diseases globally. Brain tumors cause thousands of deaths every year around the globe …