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

… 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. …

… 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 …

… diagnosis of brain tumors without latency, we will investigate the constructions of other
robust deep neural networks for brain tumor … Hence, full machine learning and deep learning …

… 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 …

… 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 …

… deep learning models for semantic or instance segmentation. Essentially, we investigate
different MRI brain tumors detection … -based, regionbased, learning-based: supervised and …

… 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 …

… using Support Vector Machine (FAHS-SVM) has been proposed for brain tumor segmentation
based on deep learning … The present work proposes the separation of the whole cerebral …