Tumor Detection in Brain MRI using Residual Convolutional Neural Networks
Mohammad Reza Obeidavi, Keivan Maghooli
Abstract
Brain tumor is one of the complications that has a high mortality rate. Early detection of tumors can help treat this type of cancer. Among tumor detection methods, magnetic resonance imaging (MRI) is a common method. But there is always an attempt to detect the tumor automatically in medical images. Therefore, in this paper, a method for automatic detection of tumor in MRI images with the help of residual neural networks is introduced. By testing the proposed neural network on the BRATS data set, the results show well the efficiency of the proposed method.
Topics & Concepts
Convolutional neural networkComputer scienceResidualMagnetic resonance imagingArtificial intelligenceBrain tumorBrain cancerArtificial neural networkMedical imagingPattern recognition (psychology)RadiologyCancerMedicineAlgorithmPathologyInternal medicineBrain Tumor Detection and ClassificationAdvanced Neural Network ApplicationsAdvanced Computing and Algorithms