… methods is to use Deep Neural Network (DNN). In this paper, a Convolutional Neural Network
(CNN) has been used to detect a tumor through brain Magnetic Resonance Imaging (MRI) …

… In this paper, we propose a system for automatically classifying brain tumors based on
two deep learning models. A “Fine-tuned proposed model with the attachment of the transfer …

… This is because of a novel fused CNN model presented in this work for brain tumor
diagnosis accurately. The summary of existing deep learning methods is mentioned in Table 1. …

… in human brain. In this study, a deep learning-based method that uses different modalities
of MRI is presented for the segmentation of brain tumor. The proposed hybrid convolutional …

… of diagnostic machine learning applications and predictive treatment. We plan … detect brain
tumour with neutrosophical principles in the future using the Convolutional Neural Network…

… detection of MRI images using deep learning, classification of brain tumor from MRI images
using deep learning, detection and classification of brain tumor using deep learning etc. A …

… of MRI machines in classifying brain tumors and identifying their types, using AI Algorithm,
CNN and Deep Learning. We have trained our brain tumor dataset using five pre-trained …

… To detect brain tumor detection there exist different classical approaches but the present …
traditional neural network approach for detecting brain tumor, since the brain tumor detection …

… Although this research investigated various architectures of deep CNN with transfer learning
for brain tumor detection, more models still need to be researched. Therefore, powerful …

… for brain tumor detection arises from the variations in tumor … literature on brain tumor detection
through magnetic resonance … This survey covered the anatomy of brain tumors, publicly …