… 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 …

… 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 …

… aided brain tumor detection. … brain tumor detecting method was proposed in [4]. Their
method had five stages, which were image acquisition, preprocessing, segmentation, tumor …

… successful for the detection of a range of brain diseases are … to detect the brain tumor from
MRI by artificial neural networks … A brain tumor detection system based on machine learning …

… In this paper, the CNN has been used for tumor detection through brain images. There were
additional margins of the images gathered from the imaging centers. These margins were …

… 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. …

… review of brain disease using deep learning techniques. The investigation and comparative
analysis of recent knowledge correlated with brain disorder detection using deep learning …

… 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 …

… It is fully connected with one neuron with sigmoid activation as we have binary problem of
detecting brain tumor detection. If dense output is 1 then it indicates tumorous MRI. If dense …

… 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 …