A hybrid deep learning model for brain tumour classification

M Rasool, NA Ismail, W Boulila, A Ammar, H Samma… - Entropy, 2022 - mdpi.com
A brain tumour is one of the major reasons for death in humans, and it is the tenth most
common type of tumour that affects people of all ages. However, if detected early, it is one of …

A deep transfer learning based architecture for brain tumor classification using MR images

B Badjie, ED Ülker - Information Technology and Control, 2022 - itc.ktu.lt
Deep Learning (DL) is becoming more popular in the healthcare sectors due to the
exponential growth of data availability and its excellent performance in diagnosing various …

Deep CNN for brain tumor classification

W Ayadi, W Elhamzi, I Charfi, M Atri - Neural processing letters, 2021 - Springer
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 …

Classifying brain tumors on magnetic resonance imaging by using convolutional neural networks

MA Gómez-Guzmán, L Jiménez-Beristaín… - Electronics, 2023 - mdpi.com
The study of neuroimaging is a very important tool in the diagnosis of central nervous system
tumors. This paper presents the evaluation of seven deep convolutional neural network …

[HTML][HTML] An efficient automatic brain tumor classification using optimized hybrid deep neural network

S Shanthi, S Saradha, JA Smitha, N Prasath… - International Journal of …, 2022 - Elsevier
A significant topic of investigation in the area of medical imaging is brain tumor classification.
Since precision is significant for classification, computer vision researchers have developed …

Deep transfer learning approaches in performance analysis of brain tumor classification using MRI images

C Srinivas, NP KS, M Zakariah… - Journal of …, 2022 - Wiley Online Library
Brain tumor classification is a very important and the most prominent step for assessing life‐
threatening abnormal tissues and providing an efficient treatment in patient recovery. To …

Automated classification of brain tumors from magnetic resonance imaging using deep learning

Z Rasheed, YK Ma, I Ullah, T Al Shloul, AB Tufail… - Brain Sciences, 2023 - mdpi.com
Brain tumor classification is crucial for medical evaluation in computer-assisted diagnostics
(CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) …

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

NF Aurna, MA Yousuf, KA Taher, AKM Azad… - Computers in biology and …, 2022 - Elsevier
The brain tumor is one of the deadliest cancerous diseases and its severity has turned it to
the leading cause of cancer related mortality. The treatment procedure of the brain tumor …

Multi-classification of brain tumor MRI images using deep convolutional neural network with fully optimized framework

E Irmak - Iranian Journal of Science and Technology …, 2021 - Springer
Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy
specimens today. The current method is invasive, time-consuming and prone to manual …

Performance analysis of brain tumour image classification using CNN and SVM

SK Baranwal, K Jaiswal, K Vaibhav… - 2020 Second …, 2020 - ieeexplore.ieee.org
Tumour is the undesired mass in the body. Brain tumour is the significant growth of brain
cells. Manual method of classifying is time consuming and can be done at selective …