Simultaneous Sparsity Model for Histopathological Image Representation and Classification

The multi-channel nature of digital histopathological images presents an opportunity to exploit the correlated color channel information for better image modeling. Inspired by recent work in sparsity for single channel image classification, we propose a new simultaneous sparsity model for multi-chan...

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Vydáno v:	IEEE transactions on medical imaging Ročník 33; číslo 5; s. 1163 - 1179
Hlavní autoři:	Srinivas, Umamahesh, Mousavi, Hojjat Seyed, Monga, Vishal, Hattel, Arthur, Jayarao, Bhushan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.05.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Animals Biomedical image processing Biomedical imaging Breast - pathology Breast Neoplasms - pathology Classification Databases, Factual Female Histocytochemistry - methods histopathological image analysis Humans Image analysis Image color analysis Image Processing, Computer-Assisted - methods Image reconstruction Kidney - pathology multichannel images ROC Curve Sparse representation Sparsity Spleen - pathology
ISSN:	0278-0062, 1558-254X, 1558-254X
On-line přístup:	Získat plný text
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