Role of deep learning in brain tumor detection and classification (2015 to 2020): A review
During the last decade, computer vision and machine learning have revolutionized the world
in every way possible. Deep Learning is a sub field of machine learning that has shown …
in every way possible. Deep Learning is a sub field of machine learning that has shown …
Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
Abstract The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019
has caused immense damage to health and global well-being. Currently, there are …
has caused immense damage to health and global well-being. Currently, there are …
Multi-modal brain tumor detection using deep neural network and multiclass SVM
Background and Objectives: Clinical diagnosis has become very significant in today's health
system. The most serious disease and the leading cause of mortality globally is brain cancer …
system. The most serious disease and the leading cause of mortality globally is brain cancer …
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
can infect both humans and animal species. It often causes pneumonia in humans. Artificial …
A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization
A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models
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 …
the leading cause of cancer related mortality. The treatment procedure of the brain tumor …
A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images
MM Emam, EH Houssein, RM Ghoniem - Computers in biology and …, 2023 - Elsevier
In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …
optimization and selected optimal thresholding values for multilevel image segmentation …
Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
Improving effectiveness of different deep transfer learning-based models for detecting brain tumors from MR images
S Asif, W Yi, QU Ain, J Hou, T Yi, J Si - IEEE Access, 2022 - ieeexplore.ieee.org
Early classification of brain tumors from magnetic resonance imaging (MRI) plays an
important role in the diagnosis of such diseases. There are many diagnostic imaging …
important role in the diagnosis of such diseases. There are many diagnostic imaging …