Brain tumor detection and classification using intelligence techniques: an overview
S Solanki, UP Singh, SS Chouhan, S Jain - IEEE Access, 2023 - ieeexplore.ieee.org
A tumor is carried on by rapid and uncontrolled cell growth in the brain. If it is not treated in
the initial phases, it could prove fatal. Despite numerous significant efforts and encouraging …
the initial phases, it could prove fatal. Despite numerous significant efforts and encouraging …
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
J Chaki, M Woźniak - Biomedical Signal Processing and Control, 2023 - Elsevier
A neurodegenerative disorder, such as Parkinson's, Alzheimer's, epilepsy, stroke, and
others, is a type of disease in which central nervous system cells stop working or die …
others, is a type of disease in which central nervous system cells stop working or die …
An effective and novel approach for brain tumor classification using AlexNet CNN feature extractor and multiple eminent machine learning classifiers in MRIs
A brain tumor is an uncontrolled malignant cell growth in the brain, which is denoted as one
of the deadliest types of cancer in people of all ages. Early detection of brain tumors is …
of the deadliest types of cancer in people of all ages. Early detection of brain tumors is …
Artificial intelligence and precision medicine: a new frontier for the treatment of brain tumors
Brain tumors are a widespread and serious neurological phenomenon that can be life-
threatening. The computing field has allowed for the development of artificial intelligence …
threatening. The computing field has allowed for the development of artificial intelligence …
Variational Autoencoders‐BasedSelf‐Learning Model for Tumor Identification and Impact Analysis from 2‐D MRI Images
P Naga Srinivasu, TB Krishna, S Ahmed… - Journal of …, 2023 - Wiley Online Library
Over the past few years, a tremendous change has occurred in computer‐aided diagnosis
(CAD) technology. The evolution of numerous medical imaging techniques has enhanced …
(CAD) technology. The evolution of numerous medical imaging techniques has enhanced …
Grade classification of tumors from brain magnetic resonance images using a deep learning technique
S Srinivasan, PSM Bai, SK Mathivanan… - Diagnostics, 2023 - mdpi.com
To improve the accuracy of tumor identification, it is necessary to develop a reliable
automated diagnostic method. In order to precisely categorize brain tumors, researchers …
automated diagnostic method. In order to precisely categorize brain tumors, researchers …
Enhancing image classification using adaptive convolutional autoencoder-based snow avalanches algorithm
The disease that causes a large number of deaths annually across the world is brain cancer
and it has become an important research topic in the field of medical image processing in …
and it has become an important research topic in the field of medical image processing in …
A novel histogram feature for brain tumor detection
Substantial and significant extraction and proper selection of features in a machine learning
model leads to more accurate result. To detect brain tumors in medical images, features like …
model leads to more accurate result. To detect brain tumors in medical images, features like …
Image geo-site estimation using convolutional auto-encoder and multi-label support vector machine
The estimation of an image geo-site solely based on its contents is a promising task.
Compelling image labelling relies heavily on contextual information, which is not as simple …
Compelling image labelling relies heavily on contextual information, which is not as simple …
[Retracted] A Precise Medical Imaging Approach for Brain MRI Image Classification
MH Siddiqi, A Alsayat, Y Alhwaiti… - Computational …, 2022 - Wiley Online Library
Magnetic resonance imaging (MRI) is an accurate and noninvasive method employed for
the diagnosis of various kinds of diseases in medical imaging. Most of the existing systems …
the diagnosis of various kinds of diseases in medical imaging. Most of the existing systems …