Deep learning techniques for the classification of brain tumor: A comprehensive survey

A Younis, Q Li, M Khalid, B Clemence… - IEEE Access, 2023 - ieeexplore.ieee.org
Researchers have given immense consideration to unsupervised approaches because of
their tendency for automatic feature generation and excellent performance with a reduced …

[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert systems with …, 2023 - Elsevier
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …

A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images

J Rasheed, AA Hameed, C Djeddi, A Jamil… - Interdisciplinary …, 2021 - Springer
Abstract Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and
mankind all over the world is vulnerable to this virus. Alternative tools are needed that can …

A survey of brain tumor segmentation and classification algorithms

ES Biratu, F Schwenker, YM Ayano, TG Debelee - Journal of Imaging, 2021 - mdpi.com
A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …

Transfer learning for automatic brain tumor classification using MRI images

M Arbane, R Benlamri, Y Brik… - 2020 2nd international …, 2021 - ieeexplore.ieee.org
One of the most leading death causes in the world is brain tumor. Solving brain tumor
segmentation and classification by relying mainly on classical medical image processing is …

Automated brain tumor detection using machine learning: A bibliometric review

R Hossain, RB Ibrahim, HB Hashim - World neurosurgery, 2023 - Elsevier
To develop a research overview of brain tumor classification using machine learning, we
conducted a systematic review with a bibliometric analysis. Our systematic review and …

[Retracted] A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI

EU Haq, H Jianjun, X Huarong, K Li… - … Methods in Medicine, 2022 - Wiley Online Library
Conventional medical imaging and machine learning techniques are not perfect enough to
correctly segment the brain tumor in MRI as the proper identification and segmentation of …

[HTML][HTML] Brain tumor classification in magnetic resonance images using deep learning and wavelet transform

AM Sarhan - Journal of Biomedical Science and Engineering, 2020 - scirp.org
A brain tumor is a mass of abnormal cells in the brain. Brain tumors can be benign
(noncancerous) or malignant (cancerous). Conventional diagnosis of a brain tumor by the …

Brain tumor classification and detection using hybrid deep tumor network

GA Amran, MS Alsharam, AOA Blajam, AA Hasan… - Electronics, 2022 - mdpi.com
Brain tumor (BTs) is considered one of the deadly, destructive, and belligerent disease, that
shortens the average life span of patients. Patients with misdiagnosed and insufficient …

Screening lung diseases using cascaded feature generation and selection strategies

J Rasheed, RM Shubair - Healthcare, 2022 - mdpi.com
The global pandemic COVID-19 is still a cause of a health emergency in several parts of the
world. Apart from standard testing techniques to identify positive cases, auxiliary tools based …