Brain tumor classification using mr images and transfer learning

M Gupta, G Shirisha, AM Chandana… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
A brain tumor is the irregular development of a mass tissue within the brain or close to it,
which has the capacity to spread and duplicate the wildly affecting organs within the body …

Original Research Article Deep learning-based approach for prediction of brain stroke from MR images for IoT in healthcare

M Gupta, P Meghana, KH Reddy - Journal of Autonomous …, 2024 - jai.front-sci.com
This study develops a technique to predict brain strokes using magnetic resonance imaging
(MRI). Worldwide, brain stroke is a leading factor in death and long-term impairment. The …

Detection of Abusive Content Using Machine Learning and Deep Learning Methods

A Reddy, M Gupta, S Priya, H Reddy… - … Conference on Data & …, 2024 - Springer
Abusive language refers to any expression that contains offensive terms in conversation,
including social media platforms and networking websites such as Facebook or Twitter. As …

Brain Tumor Disease Classification Using Weighted Average Ensemble Deep Learning Model

KA Yimer, AK Sahoo, C Pradhan - 2024 1st International …, 2024 - ieeexplore.ieee.org
In the context of medical research, brain tumors present a challenging problem due to their
potential for rapid growth and their impact on overall health. Classifying brain tumors is an …

Detection of Abusive Content Using Machine Learning and Deep Learning

A Reddy, M Gupta, S Priya, H Reddy - Advances in Data and Information … - books.google.com
Abusive language refers to any expression that contains offensive terms in conversation,
including social media platforms and networking websites such as Facebook or Twitter. As …

Predicting Brain Stroke Using Machine Learning

A Khare, S Kriplani, S Nema, R Soni… - … Journal of Research …, 2024 - journal.ijris.com
On the basis of the GBD (Global Burden of Disease) 2013 Study, this article provides an
overview of the global, regional, and country-specific burden of stroke by sex and age …