NDLI: Breast ultrasound automated ROI segmentation with region growing

Content Provider	IEEE Xplore Digital Library
Author	Lay-Khoon Lee Siau-Chuin Liew
Copyright Year	2015
Description	Author affiliation: Univ. Malaysia Pahang, Kuantan, Malaysia (Lay-Khoon Lee) \|\| Fac. of Comput. Syst. & Software Eng., Univ. Malaysia Pahang, Kuantan, Malaysia (Siau-Chuin Liew)
Abstract	Image segmentation is an important technology used in different areas ranging from image processing to image analysis. One of the simplest methods for image segmentation that is widely implemented in medical images is the region growing method. Current researches mostly focus on using the region growing method to automatically detect the presence of tumor in MRI (Magnetic Resonance) images instead of ultrasound images. In this paper, we present an algorithm to automatically detect tumors in ultrasound images. Inspired by SergeBeucher and Balasubramanian's road segmentation algorithm, this paper will implement the road segmentation algorithm into medical image segmentation. Results show that, the road segmentation algorithm actually works on the segmentation of medical image. The dice coefficient was used to evaluate the accuracy of the algorithm, eventually getting a value of 0.988 ± 0.00147 as the mean and standard deviation. This value is significant, because the higher the DC value, the more accurate is the segmentation. Besides that, the DC value can use for future reference and comparison.
Starting Page	177
Ending Page	182
File Size	1098240
Page Count	6
File Format	PDF
e-ISBN	9781467367226
DOI	10.1109/ICSECS.2015.7333106
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-19
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Segmentation Dice coefficient Tumor detection Breast ultrasound Image segmentation Ultrasonic imaging Combination Breast Medical image Feature extraction Biomedical imaging Cancer Tumors
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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