Publication

Abstract : A brain tumor could be a bunch of cells in your brain that are unusual. The cranium is exceptionally inflexible, which encases the brain. Any development can cause issues inside such a restricted space. There may be malignant or benign brain tumors. Radiologists can assist in tumor diagnostics without invasive measures by developing technology and machine learning. CNN is the foremost common and broadly utilized machine learning algorithm for visual learning and picture acknowledgment errands. Similarly, in our paper, in conjunction with Big Data Analysis and Picture Processing, we present the convolutional neural network (CNN) approach to classify brain MRI pictures into cancerous and non-cancerous. The experimental analysis on a very limited dataset shows our model has high accuracy and has a very low complexity rate. The newly created CNN engineering may be utilized as an imperative decision-support strategy for radiologists in therapeutic diagnostics, with good generalization capabilities and good execution speed.