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Abnormal tissue detection of breast ultrasound image using combination of morphological technique

Supriyanto, Eko and Zulkifli, Nor Saradatul Akmar and Baigi, Mohsen Marvi and Mahmood, Nasrul Humaimi and Rosidi, Bustanur (2011) Abnormal tissue detection of breast ultrasound image using combination of morphological technique. In: 15th Wseas international conference on Computers, 15 - 17 July 2011, Corfu Island, Greece.

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Official URL: https://pdfs.semanticscholar.org/8a95/e2c503cfa763...


Breast cancer is the most common killer in women worldwide, which is originating from breast tissue. Early detection of breast cancer plays an important role in its therapy. Existing breast cancer detection method like ultrasound imaging can not be used at all ages, also quality of obtained images affected by speckle noise. Thus, it is essential to introduce new method to overcome these problems. This paper proposes an approach of detecting abnormal tissue in ultrasound breast image. The objective is to detect the abnormal tissue such as cyst or tumor inside breast tissues using image segmentation and combination of morphological technique. Image was processed using threshold segmentation method followed by dilation and erosion. The region of abnormalities tissue were found and has been differentiating from other tissue through several step of method applied. Besides, the same method was applied to the other different type of breast abnormalities tissue and the necessary result was obtained. The finding results show that this method can be used for early detection of breast cancer since it can detect several types of abnormalities in breast tissues.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Breast Cancer, Tumor, Image Segmentation, Thresholding, Ultrasound Breast, Morphological
Subjects:Q Science > QH Natural history > QH301 Biology
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions:Biosciences and Medical Engineering
ID Code:45530
Deposited By: Haliza Zainal
Deposited On:10 Jun 2015 03:00
Last Modified:20 Sep 2017 07:18

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