Analysis of Whole Slide Images of Equine Tendinopathy

被引：0
|
作者：
Toutain, M. [1 ]
Lezoray, O. [1 ]
Audigie, F. [2 ]
Busoni, V. [3 ]
Rossi, G. [4 ]
Parillo, F. [4 ]
Elmoataz, A. [1 ]
机构：
[1] Univ Caen Basse Normandie, UMR 6072, GREYC, CNRS, Caen, France
[2] Ecole Natl Vet Alfort, USC, CIRALE, INRA,BPLC 957, Goustranville, France
[3] Univ Liege, Fac Med Vet, Serv Imagerie, Liege, Belgium
[4] UStudi Camerino, Dipartimento Sci Vet, Matelica, Italy
来源：
IMAGE ANALYSIS AND RECOGNITION, PT II | 2012年 / 7325卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a method for the automatic analysis of whole slide histological images of equine tendinopathy. This computer-aided analysis is a pre-screening tool that helps veterinarians doctors to evaluate the efficacy of new treatments. A set of textural, arrangement, and alignment features are extracted to reproduce visual histological criteria, each of them representing different feature views of the initial data. To efficiently combine these different views of the data for clustering, tensor-based multi-view spectral clustering is considered and provides an unsupervised classification of the tissue zones.
引用
收藏
页码：440 / 447
页数：8
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