Structure of organic compounds semantic quantitative evaluation of micro-CT data

被引：0

作者：

Jirik M. ^{[1
]}

Kunes J. ^{[2
]}

Zelezny M. ^{[1
,2
]}

机构：

[1] New Technologies for the Information Society, University of West Bohemia, Univerzitni 8, Pilsen

[2] Department of Cybernetics, University of West Bohemia, Univerzitni 8, Pilsen

来源：

Pattern Recognition and Image Analysis | 2016年 / 26卷 / 01期

关键词：

CT; histology; length density; micro-CT; segmentation; skeleton; surface density; volume fraction;

D O I：

10.1134/S1054661816010119

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Quantitative analysis of histology slides can bring unique knowledge about the investigated sample. Unfortunately this is time consuming procedure. In this paper we suggest method to overcome this disadvantage. However, everything has its price. Semi-automatic evaluation cannot beat human operator by its precision, but it is able to process big amount of data in short time. In some fields it can be useful property. © 2016, Pleiades Publishing, Ltd.

引用

页码：144 / 149

页数：5

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