Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
The MRI has established excellent proficiency in detecting tumors, with vast numbers of MRI tumor images formed each day globally. The content-based tumor image retrieval (CBTIR) system has shown significant potential in medical image analysis This paper proposes a CBTIR method using ResNet50 for a hasty and precise image retrieval process. We tried several popular ResNet models, which were resolute as the optimal option. The CE-MRI data set is used for the assessment of the proposed work and results in retrieval precision values of 98.33% with Euclidean distance metrics compare to other state-of-art conventional methods.