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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Bibliographic Details
Published in:	IEEE transactions on medical imaging Vol. 33; no. 5; pp. 1163 - 1179
Main Authors:	Srinivas, Umamahesh, Mousavi, Hojjat Seyed, Monga, Vishal, Hattel, Arthur, Jayarao, Bhushan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.05.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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