ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
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Paper Title
AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE
Authors
Telagarapu Prabhakar
Keywords
Seed point, Breast lesion, Automatic segmentation, Support Vector Machine.
Abstract
Ultrasound has been one of the most powerful techniques for imaging organs and soft tissue structure in the human body. It has been used for breast cancer detection because of its non-invasive, sensitive to dense breast, low positive rate and cheap cost. But due to the nature of ultrasound image, the image suffers from poor quality caused by speckle noise, low contrast and blurred edges. These make the automatic segmentation and classification of interested lesion difficult. One of the frequently used segmentation method is region growing method. A seed point is the starting point for region growing and its selection is very important for the segmentation and classification result. If this seed point is selected outside the region of interest, final segmentation and classification would be definitely incorrect. So, mostly the seed point is manually selected in order to avoid incorrect segmentation and classification. And also, most of the past works have concentrated only on automatic seed point location and segmentation of single lesion in U.S breast images. Proposing a method which was able to locate the seed point automatically within the multiple lesion regions by using the tan function, textural features of the lesion regions and Support Vector Machine and also able to automatically segment the lesion regions properly. Using this proposed method, able to located seed point within multiple lesion regions automatically. The results show that the proposed method was able to automatically locate the seed points within lesion region automatically for 98.42 % of images in our data set.
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IJCRT — journal style
"AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.1, Issue 2, page no.25-28, September 2013, Available :https://ijcrt.org/papers/IJCRT1133001.pdf
APA — 7th edition
Prabhakar, T. (2018). AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE. International Journal of Creative Research Thoughts, 1(2), 25-28. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001
MLA — 9th edition
Prabhakar, Telagarapu. "AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE." International Journal of Creative Research Thoughts, vol. 1, no. 2, 2018, pp. 25-28, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001.
Chicago — 17th, bibliography
Prabhakar, Telagarapu. "AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE." International Journal of Creative Research Thoughts 1, no. 2 (2018): 25-28. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001.
Harvard — author–date
Prabhakar, T. (2018) 'AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE', International Journal of Creative Research Thoughts, 1(2), pp. 25-28. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001
IEEE — numbered reference
T. Prabhakar, "AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE," IJCRT, vol. 1, no. 2, pp. 25-28, Jan. 2018.
Vancouver — biomedical
Prabhakar T. AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE. IJCRT. 2018 Jan;1(2):25-28.
AMA — 11th edition
Prabhakar T. AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE. IJCRT. 2018;1(2):25-28. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1133001,
author = {Telagarapu Prabhakar},
title = {AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE},
journal = {International Journal of Creative Research Thoughts},
volume = {1},
number = {2},
pages = {25-28},
year = {2018},
month = {January},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Prabhakar, Telagarapu
TI - AUTOMATIC SEED POINT SELECTION ALGORITHM TO DETECT BREAST LESIONS IN ULTRASOUND IMAGE
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 1
IS - 2
PY - 2018
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001
SP - 25
EP - 28
ER -
Issue
Volume 1 Issue 2,
January-2018
Pages : 25-28
Article Information
- Pages
- 25-28
- Published
- January 2018
- Registration ID
- IJCRT_180470
- Published Paper ID
- IJCRT1133001
- Research Area
- Science & Technology
- Author Type
- Indian Author
- Location
- VISAKHAPATNAM, ANDHRA PRADESH, 530016
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 2,070
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT1133001
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT1133001.pdf
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International Journal of Creative Research Thoughts
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