-1e416013186c20a17cb-44a6 20230415052156800 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2023 12 1 Professor, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Tirupati (A.P), India. Dr. R. Suresh https://orcid.org/0009-0004-4726-2398 B. Vijaya https://orcid.org/0009-0009-7205-0860 Assistant Professor, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Tirupati (A.P), India. Radiologists generally uses mammogram images for extracting masses or cancer effected breast issues using texture features of the images by segmenting techniques. The most commonly used technique in this process is region of interest (ROI). But this method fails for large collection of mammogram image database. To address this issue this present paper proposed multi-ROI (M-ROI) technique. This method not only reduces limitations of ROI but also finds the very suitable texture features. This paper also evaluated the efficiency of the proposed M-ROI method using first order and second order statistical techniques. 05 30 2023 49 53 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true No, I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. The data can be accessed from KAggle data sets https://www.kaggle.com/datasets/kmader/mias-mammography All authors have equal participated in this article. 10.35940/ijrte.A1821.0512123 https://www.ijrte.org/portfolio-item/A1821058119/