Brain Tumor Detection with Hospital Recommendation System

Somesh Kshirsagar; Kartikkumar Mahindrakar; Vinayak Maskar; Prajwal Nanaware; Sharmila Rathod

Brain Tumor Detection with Hospital Recommendation System

Authors: Somesh Kshirsagar, Kartikkumar Mahindrakar, Vinayak Maskar, Prajwal Nanaware, Sharmila Rathod

Unique Paper ID: 159039
Volume: 9
Issue: 11
PageNo: 297-303

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.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 9
Issue: 11
PageNo: 297-303

Brain Tumor Detection with Hospital Recommendation System

Available:https://ijirt.org/Article?manuscript=159039

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now