Brain Tumor Detection with Hospital Recommendation System
Somesh Kshirsagar, Kartikkumar Mahindrakar, Vinayak Maskar, Prajwal Nanaware, Sharmila Rathod
Brain Tumor, Accuracy, Detection, MRI, Recommendation
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
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