Volume & Issue no: Volume 10, Issue 1, January - February 2021
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Title: |
Automated brain tumor detection application development using digital image processing |
Author Name: |
Vipin Y. Borole, Sonali B. Kulkarni |
Abstract: |
Abstract: Automated brain tumor detection and tumor
area calculation is a challenging task due to the complex
structure of brain. MRI images offer better difference
concern of various soft tissues of human body.MRI
Imaging play an important role in brain tumor for
detection analysis, diagnosis and treatment planning. It
helpful to doctor for detection of tumor and diagnosis of
disease as well as treatment planning of brain tumor.
Brain tumor is an abnormal growth of cell of brain.
MRI Image provides better results than CT,
Ultrasound, and X-ray.In this study, design and
developed Matlab application using various
preprocessing, post processing and methods like;
(Filtering, contrast enhancement, Edge detection) and
post processing techniques like; (Histogram, Threshold,
Segmentation, Morphological operation) through image
processing (IP) tool. The brain tumor segmentation
carried manually from MRI images is very crucial and
time consuming task. Therefore, to avoid that, it needs
to use computer aided method for detection of brain
tumor. In this application MRI image is taken as input
and applied various image processing techniques step
by step upto brain tumor is separated from MRI images
and tumor area is calculated in MM2.
Keywords: Brain tumor, MRI-Images, Tumor area, image
processing. |
Cite this article: |
Vipin Y. Borole, Sonali B. Kulkarni , "
Automated brain tumor detection application development using digital image processing" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 10, Issue 1, January - February 2021 , pp.
014-019 , ISSN 2278-6856.
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