ba60f6118d1e33cbb5-3d05 20240229232701737 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 02 28 2024 13 3 Department of Computer Science and Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India. Siddharth Ruria Priyanshu Gautam Department of Computer Science and Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India. Aditya Raj Department of Computer Science and Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India. Garima Pandey Department of Computer Science and Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India. This project's objectives include locating brain tumours and enhancing patient care. Tumours are abnormal cell growths, and malignant tumours are abnormal cell growths. The two types of scans, CT and MRI frequently detect infected brain tissues. Numerous more techniques are employed for the diagnosis of brain tumours, some of which include molecular testing, and positive charges imaging of blood or lymph arteries. In order to identify disease causes like tumors, this article will use various MRI pictures. This study paper's major goals are to 1) recognize irregular sample photos and 2) locate the tumor region. In order to administer the appropriate therapy, the aberrant portions of the photographs will anticipate the levels of tumours. From example photos, deep learning is utilized to identify anomalous areas. The aberrant section will be segmented in this study using VGG-16. The number of pixels that are malignant determines the extent of the contaminated area. 02 28 2024 23 27 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE) No, I did not receive it. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijitee.H9678.13030224 https://www.ijitee.org/portfolio-item/H96780712823/