International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
Medical Application For Brain Tumor Detection And Area Calculation Using Algorithm. Pallavi M. Gavale, Nashik Priti V. Aher, Nashik Darshana V. Wani, Nashik Ashwini B. Kakade, Nashik Guided By – Head of Dept. Prof. S.N. Bhadane, Dept. Information Technology, Pune vidyarthi Griha’s Collage of Engineering, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------1.1 Existing Method: Abstract – Now a days tumor is second leading cause of cancer. Due to cancer large no of patients are in danger. The medical field needs fast, automated, efficient and reliable technique to detect tumor like brain tumor. Detection plays very important role in treatment. If proper detection of tumor is possible then doctors keep a patient out of danger. In this medical application using K-mean and FCM segmentation algorithm System detects the proper shape and size accurately. It works accurately in small time. It accepts MRI and CT images as a input. Mostly MRI images are preferred because MRI images does not use harmful radiations which is dangerous for human body. Is uses magnetic field detection. MRI is more accurate than CT images. Various image processing techniques are used in this application. Using this application doctors provide proper treatment and save a number of tumor patients. Key Words: Automated, MR, CT, Image processing, K-mean, Fuzzy C-mean(FCM).
The existing method is based on the thresholding and Region growing. In manual system it is hard to detect tumor if tumor is in secondary stage. Manual system uses thresholding and region growing. In the thresholding based segmentation the image is considered as having only two values either black or white. But the bit map image contains 0 to 255 gray scale values. So sometimes it ignores the tumor cells also and due to this it does not return accurate result[2].
2.OBJECTIVE OF APPLICATION:
1.INTRODUCTION :
In now a days doctors use manual system to detect the tumor. Manual system means doctors detect tumor using their eyes. But it is not detected accurately and the result is not efficient. The tumor is nothing but the unwanted growth in tissues in brain area. If it is limited for only one particular part of body then it is primary but if it is spread all over the body then it is secondary. To detect those type of secondary tumor using manual system is very hard and not accurate. In this situation this application helps to doctor as well as patients to know more about tumor seriousness. This medical application uses K-Mean for clustering of tumor tissues and FCM foe segmentation of brain area. It improves the accuracy , efficiency and time required to gain proper result. Using this computer system doctors provide proper treatment to patient and protect number of human life in very less time[4].
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Impact Factor value: 5.181
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The main aim of the application is tumor identification. The main reason behind the development of this application is to provide proper treatment as soon as possible and protect the human life which is in danger. This application is helpful to doctors as well as patient. The manual identification is not fast, accurate and efficient. to overcome those problem this application is design. It is user friendly application.
2.1 Proposed Method:
There are five stages of this application. Using those five stages it return the proper and accurate result. The stages are as follow: Pre-processing Segmentation using K-mean Segmentation using FCM Feature Extraction Approximate reasoning
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