The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Revolutionizing Brain Tumor Detection by Exploring the Environmental Impact and Deep Learning in MRI Segmentation
|
|
Author(s): Snehal Rahul Rathi (Vishwakarma Institute of Technology, Pune, India), Pratik Kanhaiya Rathod (Vishwakarma Institute of Information Technology, Pune, India), Adarsh R. Dawkhare (Vishwakarma Institute of Information Technology, Pune, India), Sanket Sunil Anbhule (Vishwakarma Institute of Information Technology, Pune, India)and Shilpa Prashant Kalantri (Shah and Anchor Kutchhi Engineering College, Mumbai, India)
Copyright: 2026
Pages: 24
Source title:
Revolutionizing Medicine With Autonomous Robotics
Source Author(s)/Editor(s): Dattatray Gopal Takale (Vishwakarma Institute of Information Technology, India), Parikshit N. Mahalle (Vishwakarma Institute of Information Technology, India), Bipin Sule (Vishwakarma Institute of Technology, India), Vivek S. Deshpande (Vishwakarma Institute of Information Technology, India)and Nilesh P. Sable (Vishwakarma Institute of Information Technology, India)
DOI: 10.4018/979-8-3373-0179-2.ch004
Purchase
|
Abstract
Maligancy of the brain is a disorder that affects the health of populations worldwide and for diagnosis, calls for complex skills and high-resolution techniques. This work proposes the use of a new strategy for the detection and segmentation of brain tumors with the help of MRI images. Concerning MRI, although the tumors are high in water content and possess hydrogen atoms, they give variations in signal intensity when compared to normal tissues. Thus, the utilization of CNNs for classifying and detecting brain tumors is quite efficient, provided the combined application of the CLAHE algorithm to boost the image contrast, where the outcomes of the classification attained a high accuracy. This chapter reflects on the Sustainable Development Goals in general by contributing to the development of more effective diagnostic tools and, consequently, enhancing the health of individuals. It is in line with the need to have sustainable healthcare systems for the constant and fair diagnosis and treatment of brain tumors regardless of the climate situation.
Related Content
|
R. N. Ravikumar, S. Aarthi.
© 2026.
32 pages.
|
|
P. Sriramalakshmi, H. Bavya Shree, Sonakshi Agrawal.
© 2026.
30 pages.
|
|
Gurpreet Singh, Vakil Singh.
© 2026.
36 pages.
|
|
Y. Sree Vani, P. Selvakumar, B. Prabhanjan Yadav, M. Kanipriya, M. R. Arun, Arti Bansal, T. C. Manjunath.
© 2026.
30 pages.
|
|
T. Grace Shalini, P. Bhavesh, S. S. Krishikaa Mathi Bharathi, Nayantra Ramakrishnan.
© 2026.
34 pages.
|
|
Muhammad Usman Tariq.
© 2026.
26 pages.
|
|
Ma. de los Angeles Alamilla Daniel, Angel Ricardo Licona RodrÃguez.
© 2026.
30 pages.
|
|
|