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Title: :  Medical Image Segmentation Assessment
PaperId: :  21267
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21267
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anisha SheikhGeetanjali institute of technical studies

Abstract

computer application
Medical Images, CNN, U-Net, Thresholding, Clustering.
Image segmentation is a very censorious task in image analysis and image processing. And image segmentation is the most important process for providing depiction, fantasy, and characterization of different zones in any medical image. So, it is important to find the different methods and techniques for segmenting the medical images that may provide the best result. In this paper, we would see the crucial place of segmentation in medical images for best decision making. As there are different techniques for segmentation, Clustering-based segmentation, Threshold-based segmentation, Kernel based segmentation, Edge based segmentation, Mathematical segmentation, and CNN which play an important role in segmenting medical images. Otsu thresholding method is implemented for diabetic retina eye with 96% accuracy. We would see a proper difference between the techniques used by different researchers.

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IJARIIE Anisha Sheikh. "Medical Image Segmentation Assessment" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 1530-1537
MLA Anisha Sheikh. "Medical Image Segmentation Assessment." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 1530-1537.
APA Anisha Sheikh. (2023). Medical Image Segmentation Assessment. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 1530-1537.
Chicago Anisha Sheikh. "Medical Image Segmentation Assessment." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 1530-1537.
Oxford Anisha Sheikh. 'Medical Image Segmentation Assessment', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 1530-1537. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Medical_Image_Segmentation_Assessment_ijariie21267.pdf (Accessed : ).
Harvard Anisha Sheikh. (2023) 'Medical Image Segmentation Assessment', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 1530-1537IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Medical_Image_Segmentation_Assessment_ijariie21267.pdf (Accessed : )
IEEE Anisha Sheikh, "Medical Image Segmentation Assessment," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 1530-1537, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Medical_Image_Segmentation_Assessment_ijariie21267.pdf [Accessed : ].
Turabian Anisha Sheikh. "Medical Image Segmentation Assessment." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver Anisha Sheikh. Medical Image Segmentation Assessment. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 1530-1537. Available from: https://ijariie.com/AdminUploadPdf/Medical_Image_Segmentation_Assessment_ijariie21267.pdf
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