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 …
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
A sco** review of transfer learning research on medical image analysis using ImageNet
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …
trained on non-medical ImageNet dataset, has shown promising results for medical image …
Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …
recognition is a challenging problem for radiologists in health monitoring and automated …
Brain tumor classification using deep CNN features via transfer learning
Brain tumor classification is an important problem in computer-aided diagnosis (CAD) for
medical applications. This paper focuses on a 3-class classification problem to differentiate …
medical applications. This paper focuses on a 3-class classification problem to differentiate …
Deep CNN for brain tumor classification
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 …
in adults and children. It has the lowest survival rate and various types depending on their …
An enhanced deep learning approach for brain cancer MRI images classification using residual networks
Cancer is the second leading cause of death after cardiovascular diseases. Out of all types
of cancer, brain cancer has the lowest survival rate. Brain tumors can have different types …
of cancer, brain cancer has the lowest survival rate. Brain tumors can have different types …
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 …
DACBT: Deep learning approach for classification of brain tumors using MRI data in IoT healthcare environment
The classification of brain tumors (BT) is significantly essential for the diagnosis of Brian
cancer (BC) in IoT-healthcare systems. Artificial intelligence (AI) techniques based on …
cancer (BC) in IoT-healthcare systems. Artificial intelligence (AI) techniques based on …
State-of-the-art CNN optimizer for brain tumor segmentation in magnetic resonance images
Brain tumors have become a leading cause of death around the globe. The main reason for
this epidemic is the difficulty conducting a timely diagnosis of the tumor. Fortunately …
this epidemic is the difficulty conducting a timely diagnosis of the tumor. Fortunately …
A survey on incorporating domain knowledge into deep learning for medical image analysis
Although deep learning models like CNNs have achieved great success in medical image
analysis, the small size of medical datasets remains a major bottleneck in this area. To …
analysis, the small size of medical datasets remains a major bottleneck in this area. To …