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Probability based Watershed Segmentation Algorithm for Multiple Brain Tumor Detection

Srikanth Busa1 , E.S. Reddy2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-12 , Page no. 955-960, Dec-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i12.955960

Online published on Dec 31, 2018

Copyright © Srikanth Busa, E.S. Reddy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Srikanth Busa, E.S. Reddy, “Probability based Watershed Segmentation Algorithm for Multiple Brain Tumor Detection,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.955-960, 2018.

MLA Style Citation: Srikanth Busa, E.S. Reddy "Probability based Watershed Segmentation Algorithm for Multiple Brain Tumor Detection." International Journal of Computer Sciences and Engineering 6.12 (2018): 955-960.

APA Style Citation: Srikanth Busa, E.S. Reddy, (2018). Probability based Watershed Segmentation Algorithm for Multiple Brain Tumor Detection. International Journal of Computer Sciences and Engineering, 6(12), 955-960.

BibTex Style Citation:
@article{Busa_2018,
author = {Srikanth Busa, E.S. Reddy},
title = {Probability based Watershed Segmentation Algorithm for Multiple Brain Tumor Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {955-960},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3447},
doi = {https://doi.org/10.26438/ijcse/v6i12.955960}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.955960}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3447
TI - Probability based Watershed Segmentation Algorithm for Multiple Brain Tumor Detection
T2 - International Journal of Computer Sciences and Engineering
AU - Srikanth Busa, E.S. Reddy
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 955-960
IS - 12
VL - 6
SN - 2347-2693
ER -

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Abstract

Automatic tumor detection is one of the difficult tasks in medical image diagnosis due to variations in size, type, shape and location of tumors. In the traditional brain tumor detection models, intra and inter slice resolutions may affect the segmentation accuracy. In addition, brain tumors have different intensities overlapping with normal tissue. In this paper, we have proposed an automatic tumor detection framework to detect the multiple tumors in brain tumor databases. This system has three main phases, namely image preprocessing, iterative threshold image enhancement and multi tumor segmentation algorithm. Experimental results show that our proposed system efficiently detects multiple tumors at different locations in the brain tumor image dataset.

Key-Words / Index Term

PWS, Brain, Tumor, Noise reduction, MRI Images

References

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