Automated analysis of a sequence of ovarian ultrasound images. Part I: segmentation of single 2D images

被引：44

作者：

Potocnik, B ^{[1
]}

Zazula, D ^{[1
]}

机构：

[1] Univ Maribor, Fac Elect Engn & Comp Sci, SLO-2000 Maribor, Slovenia

来源：

IMAGE AND VISION COMPUTING | 2002年 / 20卷 / 03期

关键词：

region growing; weighted gradient; ultrasound images; ovarian follicle segmentation;

D O I：

10.1016/S0262-8856(01)00096-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An improved algorithm is presented for ovarian follicle detection in ultrasound images. This fully automated recognition algorithm is composed of three successive steps. First, initial homogeneous regions are determined. Then, these initial regions are.-town. The growing is controlled by average grey-level and by a newly introduced weighted image gradient. In the last stage, those regions are extracted that probably correspond to the follicles. The algorithm has been tested on 50 ovarian ultrasound images. The recognition rate of follicles using this procedure was around 78%. A possible extension of the algorithm deals with the entire information in the ultrasound image sequence, which is covered in Part II of this paper. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：217 / 225

页数：9

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