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 …
[HTML][HTML] A systematic survey of computer-aided diagnosis in medicine: Past and present developments
J Yanase, E Triantaphyllou - Expert Systems with Applications, 2019 - Elsevier
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …
expended in the interface of medicine and computer science. As some CAD systems in …
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
Background Detecting brain tumors in their early stages is crucial. Brain tumors are
classified by biopsy, which can only be performed through definitive brain surgery …
classified by biopsy, which can only be performed through definitive brain surgery …
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 …
[HTML][HTML] Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
Support vector machine (SVM) is a widely used pattern classification method that its
classification accuracy is greatly influenced by both kernel parameter setting and feature …
classification accuracy is greatly influenced by both kernel parameter setting and feature …
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 …
Cnn based multiclass brain tumor detection using medical imaging
Brain tumors are the 10th leading reason for the death which is common among the adults
and children. On the basis of texture, region, and shape there exists various types of tumor …
and children. On the basis of texture, region, and shape there exists various types of tumor …
Multi-class brain tumor classification using residual network and global average pooling
RL Kumar, J Kakarla, BV Isunuri, M Singh - Multimedia Tools and …, 2021 - Springer
A rapid increase in brain tumor cases mandates researchers for the automation of brain
tumor detection and diagnosis. Multi-tumor brain image classification became a …
tumor detection and diagnosis. Multi-tumor brain image classification became a …
[HTML][HTML] Pathological brain detection based on AlexNet and transfer learning
The aim of this study is to automatically detect pathological brain in magnetic resonance
images (MRI) based on deep learning structure and transfer learning. Deep learning is now …
images (MRI) based on deep learning structure and transfer learning. Deep learning is now …
[HTML][HTML] A review on brain tumor segmentation of MRI images
The process of segmenting tumor from MRI image of a brain is one of the highly focused
areas in the community of medical science as MRI is noninvasive imaging. This paper …
areas in the community of medical science as MRI is noninvasive imaging. This paper …