Automated Spicula Recognition in Digital Mammograms.
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概要
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It is said that the presence of spicula is the most important of all visual signs for which radiologists search, to determine cancer malignancy. In this paper, we propose a new method to automatically perform this spicula recognition/classification process. This new method, first enhances ridges (which can be considered to be spicula shadows) using a newly developed process called Tophat by Partial Recognition. Next, bar filter opening is applied to remove noise components left from the previous process. Finally, spicula concentration (line concentration) is computed using a graylevel extension of the conventional line concentration equation. This method was tested on 24 samples with 7 containing confirmed spicula cancers. The method showed a 100% recognition/classification rate for spicula cancers with 0% false positives. The recognition/classification rates stated, although on a limited number of images, are very promising. Comparison to other published works is not possible without a common database, however the results showed certainly seem competitive.
- 一般社団法人 日本生体医工学会の論文
一般社団法人 日本生体医工学会 | 論文
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