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 …
A hybrid deep learning-based approach for brain tumor classification
Brain tumors (BTs) are spreading very rapidly across the world. Every year, thousands of
people die due to deadly brain tumors. Therefore, accurate detection and classification are …
people die due to deadly brain tumors. Therefore, accurate detection and classification are …
[HTML][HTML] Accurate brain tumor detection using deep convolutional neural network
Detection and Classification of a brain tumor is an important step to better understanding its
mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging …
mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging …
[HTML][HTML] A transfer learning approach for AI-based classification of brain tumors
R Mehrotra, MA Ansari, R Agrawal… - Machine Learning with …, 2020 - Elsevier
Abstract Classification of Brain Tumor (BT) is a vital assignment for assessing Tumors and
making a suitable treatment. There exist numerous imaging modalities that are utilized to …
making a suitable treatment. There exist numerous imaging modalities that are utilized to …
[HTML][HTML] Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm
In the present era, human brain tumor is the extremist dangerous and devil to the human
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
A new convolutional neural network architecture for automatic detection of brain tumors in magnetic resonance imaging images
Brain diseases are mainly caused by abnormal growth of brain cells that may damage the
brain structure, and eventually will lead to malignant brain cancer. An early diagnosis to …
brain structure, and eventually will lead to malignant brain cancer. An early diagnosis to …
A review on brain tumor segmentation of MRI images
The process of segmenting tumor from MRI image of a brain is one of the highly focused
areas in the community of medical science as MRI is noninvasive imaging. This paper …
areas in the community of medical science as MRI is noninvasive imaging. This paper …
Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network
N Varuna Shree, TNR Kumar - Brain informatics, 2018 - Springer
The identification, segmentation and detection of infecting area in brain tumor MRI images
are a tedious and time-consuming task. The different anatomy structure of human body can …
are a tedious and time-consuming task. The different anatomy structure of human body can …