Automated Brain Tumor Assessment using MRI Imaging and Deep Learning Techniques

Mr. K. Jayachandra 1
Asst Professor, Department of AIDSAnnamacharya Institute of
Technology and Sciences, Tirupati – 517520, A.P.jayachandra502@gmail.com
A. Preethi4
Student, Department of AIDSAnnamacharya Institute of
Technology and Sciences, Tirupati – 517520, A.P.preethiadi2004@gmail.com
P. Mohana Priya2
Student, Department of AIDSAnnamacharya Institute of
Technology and Sciences, Tirupati –517520, A.P.mohanapuli11@gmail.com
K. Naga Deepthi 5
Student, Department of AIDSAnnamacharya Institute of
Technology and Sciences, Tirupati – 517520, A.P.deepthikurimeti37@gmail.com

P. Yoshitha 3
Student, Department of AIDSAnnamacharya Institute of
Technology and Sciences, Tirupati –517520, A.P.yoshithapathikonda09@gmail.com

Abstract:Brain tumor detection and diagnosis using Magnetic ResonanceImaging (MRI) has become an essential area of research in medicalimage analysis due to the critical need for early and accurateidentification. MRI provides detailed visualization of brain tissues,enabling the detection of abnormal growths that may indicatetumors. However, manual interpretation of MRI scans is often timeconsuming and subject to variability among radiologists.