Paper Abstract and Keywords |
Presentation |
2015-03-03 13:40
A Study on Lesion Detection from Breast Ultrasound Images Based on Difference of Texture Change between Adjacent Regions Yudai Yamazaki (Univ. of Tsukuba), Masaya Iwata, Hirokazu Nosato, Eiichi Takahashi, Hidenori Sakanashi (AIST) MI2014-111 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a novel lesion detection method for breast ultrasound images.
In breast ultrasound images, the change pattern of the lesion texture is different from the breast tissue.
The proposed method detects a lesion on the basis of the difference in the change of texture in the focused region and the adjacent region.
We demonstrate lesion detection in breast ultrasound images using proposed method, and confirmed effectiveness of the method |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Ultrasound Image / Computer Aided Detection / Lesion Detection / Abnormal Detection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 482, MI2014-111, pp. 283-288, March 2015. |
Paper # |
MI2014-111 |
Date of Issue |
2015-02-23 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2014-111 |
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