Pattern recognition in stained HEp-2 cells: Where are we now?

被引：68

作者：

Foggia, Pasquale ^{[1
]}

Percannella, Gennaro ^{[1
]}

Saggese, Alessia ^{[1
]}

Vento, Mario ^{[1
]}

机构：

[1] Univ Salerno, Dept Informat Engn Elect Engn & Appl Math DIEM, Via Giovanni Paolo 2,132, I-84084 Fisciano, SA, Italy

来源：

PATTERN RECOGNITION | 2014年 / 47卷 / 07期

关键词：

Indirect Immunofluorescence images; Staining pattern classification; TEXTURE CLASSIFICATION;

D O I：

10.1016/j.patcog.2014.01.010

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Indirect Immunofluorescence (IIF) images are increasingly being used for the diagnosis of autoimmune diseases. However, the analysis of this kind of images has until now reached a comparatively low level of automation, if compared with other medical imaging techniques. The Special Issue on the Analysis and Recognition of Indirect Immunofluorescence Images of the Pattern Recognition journal aims at providing a comprehensive evaluation of the state of the art for the staining pattern classification problem, through the adoption of a common experimental protocol and the testing of all the methods on a publicly available dataset. This paper will present both a survey of the papers accepted for the special issue, highlighting their original aspects, and a detailed comparison and discussion of the corresponding experimental results, in order to assess which are the advantages and disadvantages of each approach. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：2305 / 2314

页数：10

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