Brain Tumor Detection with Hospital Recommendation System
Author(s):
Somesh Kshirsagar, Kartikkumar Mahindrakar, Vinayak Maskar, Prajwal Nanaware, Sharmila Rathod
Keywords:
Brain Tumor, Accuracy, Detection, MRI, Recommendation
Abstract
The main controller of the humanoid system is the human brain. A brain tumor can form as a consequence of the abnormal growth and division of brain cells, such conditions will get worse. The traditional method of detecting tumor by magnetic resonance imaging (MRI) is done by human inspection. This method has been known to have high rates of error due to errors made by humans, leading directly to patient casualties. To avoid human casualties during the inspection process, automatic and reliable classification schemes are necessary. In this paper, we proposed an android application that provides a novel method that uses Brain MRI images to detect the presence of tumor followed by recommendations of the hospital. Our app takes brain MRI images of patients as input and detects the presence of tumor. Furthermore, all useful data from various hospitals is taken into consideration then useful and appropriate information about brain tumor is recommended to the user as well as hospital which are specialized to treat the tumor is recommended based on various attributes such as location, medical specialties, quality of care, and patient satisfaction ratings. Along with the recommendation, the confidence of the detection is also displayed to the user so that the user gets the assurance of results generated by the system. As a result the user can receive essential medical advice and treatment as soon as possible.
Article Details
Unique Paper ID: 159039

Publication Volume & Issue: Volume 9, Issue 11

Page(s): 297 - 303
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews