Barstugan M.Ceylan R.Asoglu S.Cebeci H.Koplay M.2020-03-262020-03-2620199.78173E+12https://dx.doi.org/10.1109/ISMSIT.2019.8932938https://hdl.handle.net/20.500.12395/384113rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 -- 11 October 2019 through 13 October 2019 -- 156063Adrenal tumors occur on adrenal glands and can be malignant. Adrenal glands consist of cortex and medulla. If cortex or medulla produce hormones extremely, the hormonal unbalance situation arises. This situation causes adrenal tumor occurrence on adrenal glands. In this study, adrenal tumors on T1 and T2-weighted MR images were classified by the SVM algorithm. Before the classification stage, different feature extraction algorithms and filtering methods were used for preprocessing. The classification results that were obtained by four different methods were evaluated on five different evaluation metrics as sensitivity, specificity, accuracy, precision, and F-score. The best classification performance was obtained with Method 2 on T1-weighted MR (Magnetic Resonance) images where the sensitivity, specificity, accuracy, precision, and F-score metrics were obtained as 99.17%, 90%, 98.4%, 99.17%, and 99.13%, respectively. © 2019 IEEE.en10.1109/ISMSIT.2019.8932938info:eu-repo/semantics/closedAccessAdrenal glandadrenal tumorclassificationfeature extractionimage filteringMR imageConference ObjectN/A