[HTML][HTML] Brain tumor analysis using deep learning and VGG-16 ensembling learning approaches

A Younis, L Qiang, CO Nyatega, MJ Adamu… - Applied Sciences, 2022 - mdpi.com
A brain tumor is a distorted tissue wherein cells replicate rapidly and indefinitely, with no
control over tumor growth. Deep learning has been argued to have the potential to …

Identification and Prediction of Brain Tumor Using VGG-16 Empowered with Explainable Artificial Intelligence

F Ahmed, M Asif, M Saleem, UF Mushtaq… - International Journal of …, 2023 - ijcis.com
The abnormal development of cells is what causes brain tumors. It is one of the world's
leading causes of mortality among adults. Brain tumor detection in a timely manner can …

Current trends on deep learning models for brain tumor segmentation and detection–a review

S Somasundaram, R Gobinath - 2019 International conference …, 2019 - ieeexplore.ieee.org
Critical component in diagnosing tumor, designing treatment and developing an outcome for
evaluating brain tumor segmentation needed to be highly accurate and reliable. Magnetic …

Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification

AR Khan, S Khan, M Harouni, R Abbasi… - Microscopy …, 2021 - Wiley Online Library
Image processing plays a major role in neurologists' clinical diagnosis in the medical field.
Several types of imagery are used for diagnostics, tumor segmentation, and classification …

Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier

T Balamurugan, E Gnanamanoharan - Neural Computing and Applications, 2023 - Springer
Brain tumour detection is essential for improving patient survival and prospects. This
research work necessitates a physical examination with magnetic resonance imaging (MRI) …

[Retracted] A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network

T Tazin, S Sarker, P Gupta, FI Ayaz… - Computational …, 2021 - Wiley Online Library
Brain tumors are the most common and aggressive illness, with a relatively short life
expectancy in their most severe form. Thus, treatment planning is an important step in …

Classification of brain tumor by combination of pre-trained vgg16 cnn

ON Belaid, M Loudini - Journal of Information Technology Management, 2020 - jitm.ut.ac.ir
In recent years, brain tumors become the leading cause of death in the world. Detection and
rapid classification of this tumor are very important and may indicate the likely diagnosis and …

[HTML][HTML] Segmentation and classification of brain tumor using 3D-UNet deep neural networks

P Agrawal, N Katal, N Hooda - International Journal of Cognitive …, 2022 - Elsevier
Early detection and diagnosis of a brain tumor enhance the medical options and the
patient's chance of recovery. Magnetic resonance imaging (MRI) is used to detect and …

Tumor localization and classification from MRI of brain using deep convolution neural network and Salp swarm algorithm

J Alyami, A Rehman, F Almutairi, AM Fayyaz… - Cognitive …, 2023 - Springer
Early diagnosis of brain tumors is crucial for treatment planning and increasing the survival
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …

A deep learning model based on concatenation approach for the diagnosis of brain tumor

N Noreen, S Palaniappan, A Qayyum, I Ahmad… - IEEE …, 2020 - ieeexplore.ieee.org
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 …