Brain tumor detection and classification using machine learning: a comprehensive survey

J Amin, M Sharif, A Haldorai, M Yasmin… - Complex & intelligent …, 2022 - Springer
Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

A comprehensive review on multi-organs tumor detection based on machine learning

MI Sharif, JP Li, J Naz, I Rashid - Pattern Recognition Letters, 2020 - Elsevier
Tumor is comprised of abnormally growing regions that is dangerous for human survival.
Therefore, early stage tumor detection is useful for increase of survival rate although it is …

Machine learning-based EEG signals classification model for epileptic seizure detection

Aayesha, MB Qureshi, M Afzaal, MS Qureshi… - Multimedia Tools and …, 2021 - Springer
The detection of epileptic seizures by classifying electroencephalography (EEG) signals into
ictal and interictal classes is a demanding challenge, because it identifies the seizure and …

An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

MI Sharif, JP Li, J Amin, A Sharif - Complex & Intelligent Systems, 2021 - Springer
Brain tumor is a group of anomalous cells. The brain is enclosed in a more rigid skull. The
abnormal cell grows and initiates a tumor. Detection of tumor is a complicated task due to …

Social group optimization–assisted Kapur's entropy and morphological segmentation for automated detection of COVID-19 infection from computed tomography …

N Dey, V Rajinikanth, SJ Fong, MS Kaiser… - Cognitive …, 2020 - Springer
Abstract The coronavirus disease (COVID-19) caused by a novel coronavirus, SARS-CoV-2,
has been declared a global pandemic. Due to its infection rate and severity, it has emerged …

HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection

AK Sharma, A Nandal, A Dhaka, K Polat… - … Signal Processing and …, 2023 - Elsevier
Brain tumor happens due to the instant and uncontrolled cell growth. It may lead to death if
not cured at an early stage. In spite of several promising results and substantial efforts in this …

[HTML][HTML] Improved colorization and classification of intracranial tumor expanse in MRI images via hybrid scheme of Pix2Pix-cGANs and NASNet-large

M Mehmood, N Alshammari, SA Alanazi… - Journal of King Saud …, 2022 - Elsevier
Clinical image processing plays a significant role in healthcare systems and is a widely used
methodology of the current era. The Intracranial tumor affects children and adults as it is the …

DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification

M Zafar, J Amin, M Sharif, MA Anjum, GA Mallah… - Mathematics, 2023 - mdpi.com
The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …

Development of a machine-learning system to classify lung CT scan images into normal/COVID-19 class

S Kadry, V Rajinikanth, S Rho, NSM Raja… - arXiv preprint arXiv …, 2020 - arxiv.org
Recently, the lung infection due to Coronavirus Disease (COVID-19) affected a large human
group worldwide and the assessment of the infection rate in the lung is essential for …

Recognition of knee osteoarthritis (KOA) using YOLOv2 and classification based on convolutional neural network

U Yunus, J Amin, M Sharif, M Yasmin, S Kadry… - Life, 2022 - mdpi.com
Knee osteoarthritis (KOA) is one of the deadliest forms of arthritis. If not treated at an early
stage, it may lead to knee replacement. That is why early diagnosis of KOA is necessary for …