Context-based segmentation of renal corpuscle from microscope renal biopsy image sequence

研究成果: Article査読

2 被引用数 (Scopus)

抄録

A renal biopsy is a procedure to get a small piece of kidney for microscopic examination. With the development of tissue sectioning and medical imaging techniques, microscope renal biopsy image sequences are consequently obtained for computer-aided diagnosis. This paper proposes a new context-based segmentation algorithm for acquired image sequence, in which an improved genetic algorithm (GA) patching method is developed to segment different size target. To guarantee the correctness of first image segmentation and facilitate the use of context information, a boundary fusion operation and a simplified scale-invariant feature transform (SIFT)-based registration are presented respectively. The experimental results show the proposed segmentation algorithm is effective and accurate for renal biopsy image sequence.

本文言語English
ページ(範囲)1114-1121
ページ数8
ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
E98A
5
DOI
出版ステータスPublished - 2015 5月 1

ASJC Scopus subject areas

  • 電子工学および電気工学
  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 応用数学
  • 信号処理

フィンガープリント

「Context-based segmentation of renal corpuscle from microscope renal biopsy image sequence」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル