Design and Detection and Justified Analysis of the Bone Tumor using Different Techniques

Prachi B. Tamgadge, Dr. N.K Choudhari, Dr. D. M.Kate

Abstract


Picture handling have an immense zone under research, in which Medical Imaging is the most critical region to work in. As in natural cases, for example, breaks, tumors, ulcers, and so on picture preparing made it all the more simple to discover the precise reason and the best fitted arrangement. Explicitly in tumor identification medicinal imaging accomplished a benchmark by settling different complexities. Fundamentally Medical Imaging can be clarified as the way toward making human self-perceptions for therapeutic and research work. For tumor discovery different strategies, for example, MRI(Magnetic Resonance Imaging), CT(Computerised tomography) output and Microwave are accessible among referenced methods MRI conveys the best pictures as it has higher goals. In this paper the tumor recognition have been proposed utilizing AI.


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References


Krupali D. Mistry, Bijal J. Talati “ Integrated Approach for Bone Tumor Detection from MRI Scan Imagery ”on International Conference on Signal and Information Processing (IconSIP) 2016

Afshan, Nailah, Shaima Qureshi, and Syed Mujtiba Hussain, “Comparative study of tumor detection algorithms”, Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on. IEEE, 2014.

Kishor Kumar Reddy C, Anisha P R, Narasimha Prasad L V, “A Novel Approach for Detecting the Bone Cancer and its Stage based on Mean Intensity and Tumor Size”, Recent Research in Applied Computer Science, 2015

Abdulmuhssin Binhssan, “Enchondroma tumor Detection”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 6, June 2015.

Avula, Madhuri, Narasimha Prasad Lakkakula, and Murali Prasad Raja, "Bone Cancer Detection from MRI Scan Imagery Using Mean Pixel Intensity“, Modelling Symposium (AMS), 2014 8th Asia. IEEE, 2014.

Taiwo Oladipupo Ayodele, “Types of Machine Learning Algorithms”, University of Portsmouth, United Kingdom


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