Tensor classification of N
详细信息 查看全文
- 作者：Kishore Mosaliganti ; Firdaus Janoos ; Okan Irfanoglu ; R ; all Ridgway ; Raghu Machiraju ; Kun Huang ; Joel Saltz ; Gustavo Leone ; Michael Ostrowski
- 关键词：N-point correlation functions ; Phenotyping ; Image segmentation ; Microstructure
- 刊名：Medical Image Analysis
- 出版年：2009
- 出版时间：February 2009
- 年：2009
- 卷：13
- 期：1
- 页码：156-166
- 全文大小：1606 K
文摘
In this paper, we utilize the N-point correlation functions (N-pcfs) to construct an appropriate feature space for achieving tissue segmentation in histology-stained microscopic images. The N-pcfs estimate microstructural constituent packing densities and their spatial distribution in a tissue sample. We represent the multi-phase properties estimated by the N-pcfs in a tensor structure. Using a variant of higher-order singular value decomposition (HOSVD) algorithm, we realize a robust classifier that provides a multi-linear description of the tensor feature space. Validated results of the segmentation are presented in a case-study that focuses on understanding the genetic phenotyping differences in mouse placentae.