Computational and mathematical methods in medicine glioma brain tumor detection and classification using convolutional neural network

S Saravanan, VV Kumar… - … methods in medicine, 2022 - Wiley Online Library
The classification of the brain tumor image is playing a vital role in the medical image
domain, and it directly assists the clinicians to understand the severity and to take an …

Brain MR image classification for glioma tumor detection using deep convolutional neural network features

G Latif, DNFA Iskandar, J Alghazo… - Current medical …, 2021 - ingentaconnect.com
Background: Detection of brain tumor is a complicated task, which requires specialized skills
and interpretation techniques. Accurate brain tumor classification and segmentation from …

Glioma brain tumors diagnosis and classification in mr images based on convolutional neural networks

FB Gonbadi, H Khotanlou - 2019 9th International Conference …, 2019 - ieeexplore.ieee.org
Brain tumor analysis is a critical field in medical image processing. Glioma is one of the
threatening brain tumors originating from glial cells and is divided into two grades according …

Automated brain tumor segmentation and classification through MRI images

S Gull, S Akbar, SA Hassan, A Rehman… - … Conference on Emerging …, 2021 - Springer
The brain tumor is considered a hazardous infection and may cause death. Therefore, early
detection of brain tumors can improve the survival rate. This paper presents convolutional …

An intelligent system for classification of brain tumours with GLCM and back propagation neural network

B Jabber, K Rajesh, D Haritha… - 2020 4th …, 2020 - ieeexplore.ieee.org
Currently, technology has shown a lot of advancement in the field of medicine. Modalities
available for capturing the brain images are Magnetic Resonance Imaging (MRIs), Positron …

Learning methods of convolutional neural network combined with image feature extraction in brain tumor detection

W Wang, F Bu, Z Lin, S Zhai - IEEE access, 2020 - ieeexplore.ieee.org
Computer-aided detection technology is less applied in brain tumor detection terminals, and
it is difficult to eliminate the influence of various interference factors on the diagnosis results …

[PDF][PDF] An efficient approach to diagnose brain tumors through deep CNN

BA Mohammed, MS Al-Ani - Math. Biosci. Eng, 2020 - aimspress.com
Background and objective: Brain tumors are among the most common complications with
debilitating or even death potential. Timely detection of brain tumors particularly at an early …

Optimization driven deep convolution neural network for brain tumor classification

S Kumar, DP Mankame - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
The classification and segmentation of the tumor is an interesting area that differentiates the
tumorous cells and the non-tumorous cells to identify the tumor level. The segmentation from …

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) …

Retracted article: computer-aided detection of brain tumor from magnetic resonance images using deep learning network

MM Chanu, K Thongam - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Brain tumor can be considered to be a fatal and life-threatening disease caused by
undesirable cell proliferation in the human brain. Out of the several diseases in the field of …