Brain Tumor Detection from MR Images using Image Process Techniques and Tools in Matlab Software
Faisal Rehman1, Syed Sheeraz Shah2, Hamadullah Panhwar3, Akhtar Hussain4, Sajjad Ali5, Shuaib Hussain6, Tarique Mehmood7, Saeed Rabbani8
1Faisal Rehman*, National University of Science of Technology Islamabad.
2Syed Sheeraz Ali, Sukkur IBA University Sindh Pakistan.
3Hamadullah Panhwar, Jilin University PR China
4Dr. Akhtar Hussain Phul, Khairpur Medical College KMC Khairpur.
5Sajjad Ali Rajpar, Mohammad Ali Jinnah University Sindh Pakistan
6Shuaib Ahmed, Kunming University of Science and Technology, China.
7Saeed Rabbani, Sukkur IBA University.
8Tarique Mehmood, Quaid Awam University Sindh
Manuscript received on June 10, 2021. Revised Manuscript received on June 17, 2021 Manuscript published on August, 10 2021.| PP: 1-4 | Volume-1 Issue-4, August 2021 | Retrieval Number: 100.1/ijamst.C3016061321 | DOI: 10.54105/ijamst.C3016.081421
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Abstract: In the medical era the Brain tumor is one of the most important research areas in the field of medical sciences. Researcher are trying to find the reliable and cost effective medical equipment’s for the cancer and its type for the diagnosed, especially tumor has deferent kinds but the major two type are discussed in this research paper. Which are the benign and Pre-Malignant, this research work is proposed for these factors such as the accuracy of the MRI image for the tumor identification and actual placing were taken into consideration. In this study, an algorithm is proposed to detect the brain tumor from magnetic resonance image (MRI) data simple. As enhance the image quality for the easiness the tumor treatments and diagnosed for the patients. The proposed algorithm enhances the MR image quality and detects the Brain tumor which helps the Physician to diagnose the tumor easily. As well this algorithm automatically calculates the area of tumor, size and location of the tumor where it is present for diagnostic the Patient.
Keywords: MRI-Simples, Classification, Brain Tumor, Detection, Image Process Technique and Tools.
Scope of the Article: Brain Tumor