Main Article Content
Background/Purpose: The automatic identification of brain tumor types is important for advancing remedy and boosting survival of patients. In nowadays, magnetic resonance imaging is only used to effectively explore a variety of brain cancer. Since manual categorization of brain cancer requires experts and is only suitable restricted collection of clear MRI pictures, study of Convolutional Neural Network model for automatic diagnosis of brain tumor and how neural network technics are applied in images to detect tumor is proposed in this review paper.
Design/Methodology/Approach: Various Scholarly articles and websites are referred and studied to gather information for this review paper.
Findings/Result: Convolutional neural network and its different layers in image processing.
Originality/Value: This review-based research article is a brain tumor study detection implementing a Cnn Architecture as well as the research gaps and research Agenda.
Paper type: Literature Review