MRI-based brain tumor classification using ensemble of deep features and machine learning classifiers
Brain tumor classification plays an important role in clinical diagnosis and effective
treatment. In this work, we propose a method for brain tumor classification using an …
treatment. In this work, we propose a method for brain tumor classification using an …
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 …
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 …
Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images
In this paper, a new deep learning method for tumor classification in MR images is
presented. A deep neural network is first pre-trained as a discriminator in a generative …
presented. A deep neural network is first pre-trained as a discriminator in a generative …
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
EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
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 …
Classification of brain MRI tumor images based on deep learning PGGAN augmentation
The wide prevalence of brain tumors in all age groups necessitates having the ability to
make an early and accurate identification of the tumor type and thus select the most …
make an early and accurate identification of the tumor type and thus select the most …
Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection
Deep learning (DL), which involves powerful black box predictors, has achieved a
remarkable performance in medical image analysis, such as segmentation and classification …
remarkable performance in medical image analysis, such as segmentation and classification …
An overview of brain tumor
M Pichaivel, G Anbumani, P Theivendren… - Brain Tumors, 2022 - books.google.com
Brain tumor is an abnormal growth of mass of cells in (or) around the brain. Brain tumors can
be malignant (cancerous) or being non-cancerous. It is the most common malignant primary …
be malignant (cancerous) or being non-cancerous. It is the most common malignant primary …
[HTML][HTML] MR image normalization dilemma and the accuracy of brain tumor classification model
In clinical practice, a detailed medical history and physical exam, which includes a thorough
neurological examination, are used to diagnose a brain tumor. The size, form, margin, and …
neurological examination, are used to diagnose a brain tumor. The size, form, margin, and …