Abstract
Abstract: Brain tumors being one of the most fatal illnesses for people across all ages, they make up to 90% of tumors that principally affect the central nervous system. To ensure recovery and highest possible life expectancy for the patient doctors must ensure precise diagnosis and properly plan out treatment courses. Manual screening of tumors of the brain is highly complex. Having a tendency to being misdiagnosed owing to Byzantine structure of the brain and varying characteristics of tumors depending on their location and other factors. With the rise of computer sciences, there are automatic detection and classification solutions available that can outperform manual diagnosis and classification in terms of accuracy using machine learning techniques, Medical Professionals around the globe could use such systems. Comprehensive experiments were conducted by us on the selected datasets and it’s shown that the proposed model is in a position to realize competitive results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
