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Fusion: Practice and Applications
Volume 11 , Issue 2, PP: 111-123 , 2023 | Cite this article as | XML | Html |PDF

Title

De-Noising and Segmentation of Medical Images using Neutrophilic Sets

  C. S. Manigandaa 1 * ,   V. D. Ambeth Kumar 2 ,   G. Ragunath 3 ,   R. Venkatesan 4 ,   N. Senthil Kumar 5

1  Department of AI&DS, Panimalar Engineering College, Chennai, 600123, India
    (csmanigandaa@gmail.com)

2  Department of Computer Engineering, Mizoram University, Aizawl 796004. India
    (ambeth@mzu.edu.in)

3  Department of Computer Engineering, Mizoram University, Aizawl 796004. India
    (ragunath2004112@gmail.com)

4  Computer Science and Engineering, Karunya University, Coimbatore 641114, India
    (rlvenkei_2000@karunya.edu)

5  Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India
    (nskmzu@gmail.com)

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Doi   :   https://doi.org/10.54216/FPA.110208

Received: December 20, 2022 Accepted: April 26, 2023

Abstract :

Medical diagnosis and prognosis are challenging tasks due to subjectivity and inherent uncertainty in medical images. Inconsistencies in expert opinions can result in incorrect diagnoses. Neutrosophic theory, a mathematical framework that deals with imprecise or incomplete data, has shown promise in addressing the challenges posed by medical image processing. A neutrosophic theory approach is explored in this paper for de-noising and segmenting medical images. Neutrosophic theory has been utilized to represent the different degrees of truth in each piece of information, resulting in better performance in de-noising and segmentation tasks. Neutosophic theory presents a promising avenue for future investigation in medical image processing as shown in this study.

Keywords :

neutrophilic set; medical image; Noise; Segmentation

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Cite this Article as :
Style #
MLA C. S. Manigandaa, V. D. Ambeth Kumar, G. Ragunath, R. Venkatesan, N. Senthil Kumar. "De-Noising and Segmentation of Medical Images using Neutrophilic Sets." Fusion: Practice and Applications, Vol. 11, No. 2, 2023 ,PP. 111-123 (Doi   :  https://doi.org/10.54216/FPA.110208)
APA C. S. Manigandaa, V. D. Ambeth Kumar, G. Ragunath, R. Venkatesan, N. Senthil Kumar. (2023). De-Noising and Segmentation of Medical Images using Neutrophilic Sets. Journal of Fusion: Practice and Applications, 11 ( 2 ), 111-123 (Doi   :  https://doi.org/10.54216/FPA.110208)
Chicago C. S. Manigandaa, V. D. Ambeth Kumar, G. Ragunath, R. Venkatesan, N. Senthil Kumar. "De-Noising and Segmentation of Medical Images using Neutrophilic Sets." Journal of Fusion: Practice and Applications, 11 no. 2 (2023): 111-123 (Doi   :  https://doi.org/10.54216/FPA.110208)
Harvard C. S. Manigandaa, V. D. Ambeth Kumar, G. Ragunath, R. Venkatesan, N. Senthil Kumar. (2023). De-Noising and Segmentation of Medical Images using Neutrophilic Sets. Journal of Fusion: Practice and Applications, 11 ( 2 ), 111-123 (Doi   :  https://doi.org/10.54216/FPA.110208)
Vancouver C. S. Manigandaa, V. D. Ambeth Kumar, G. Ragunath, R. Venkatesan, N. Senthil Kumar. De-Noising and Segmentation of Medical Images using Neutrophilic Sets. Journal of Fusion: Practice and Applications, (2023); 11 ( 2 ): 111-123 (Doi   :  https://doi.org/10.54216/FPA.110208)
IEEE C. S. Manigandaa, V. D. Ambeth Kumar, G. Ragunath, R. Venkatesan, N. Senthil Kumar, De-Noising and Segmentation of Medical Images using Neutrophilic Sets, Journal of Fusion: Practice and Applications, Vol. 11 , No. 2 , (2023) : 111-123 (Doi   :  https://doi.org/10.54216/FPA.110208)
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