Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Detection and Identification of Head and Neck Cancer Using Hybrid Image Processing Technique

Author : Imran Khan 1 Firoz Khan 2 Nasreen Taj M.B 3 Sandeep Telkar R 4

Date of Publication :30th September 2020

Abstract: Head and Neck cancers are the most common type of cancer in the world and account for 6% of all tumors. Most of head and neck cancers are squamous cell carcinomas that develop in the upper throat as a result of exposure to risk factors. It usually presents itself in an advanced stage in older men. Cancer can start any place in the body. It starts when cells grow abnormally and crowd out normal cells. This makes it difficult for the body to work the way it should. The medical imaging tools play an important role in the early diagnosis of cancer. Medical imaging has emerged as a non-invasive tool for diagnosis of diseases. So it is important to identify cancer and know its stages in order to determining treatment options that may be tailored to needs. Here we are introducing hybrid image processing technique for noise reduction, segmentation and classification to detect and identify stages of cancer in head and neck.

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    2. Agnes Jacob, P. Mythili, A socio friendly approach to the analysis of emotive speech, International Conference on Communication Technology and System Design 2011, Procedia Engineering 30 (2012) 577 – 583.
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    29. George Leu, Neville J. Curtis, Hussein Abbass, "Modeling and Evolving Human Behaviors and Emotions in Road Traffic Networks", Procedia - Social and Behavioral Sciences 54 ( 2012 ) 999 – 1009.
    30. Georgeta Pânisoara, Ion Ovidiu Pânisoara, Cristina Marina Sandu, (2015), "Comparative study on emotions analysis in students of psychology by gender", Procedia - Social and Behavioral Sciences 180 ( 2015 ) 1638 – 1642.
    31. Hamm, J., Kohler, C. G., Gur, R. C., Verma, R. (2011). "Automated Facial Action Coding System for dynamic analysis of facial expressions in neuropsychiatric disorders". Journal of Neuroscience Methods 200 (2): 237–256. doi:10.1016/j.jneumeth.2011.06.023. PMC 3402717. PMID 21741407.
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    37. J. Martin, R. Niewiadomski, L. Devillers, S. Buisine, and C. Pelachaud, “Multimodal complex emotions: Gesture expressivity and blended facial expressions”, Int. Humanoid Robot., vol. 3, no. 3, pp. 269– 292,2006.
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    44. Kleinginna, P. R., Jr. and Kleinginna, A. M.; A categorized list of emotion definitions, with a suggestion for a consensual definition. Motivation and Emotions, 5, 345-379 (1981).
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