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Tissue Quantification in Photon-limited Microendoscopy

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Abstract

This paper explores the use of Poisson sparse decomposition methods for computationally separating tumor nuclei from normal tissue structures in photon-limited microendoscopic images. Sparse decomposition tools are a natural fit for this application with promising preliminary results. However, there are significant the tradeoffs among different algorithms used for Poisson sparse decomposition which are described in detail and demonstrated via simulation.

Citation

Z. T. Harmany, J. Mueller, J. Q. Brown, N. Ramanujam and R. M. Willett, “Tissue quantification in photon-limited microendoscopy”, in Proceedings of SPIE, 2011, vol. 8138, no. 1, 81380F–81380F-6.

BibTeX

@inproceedings{harmany-spie2011-tissuequantificaiton,
  doi = {10.1117/12.892856},
  title = {Tissue quantification in photon-limited microendoscopy},
  author = {Harmany, Zachary T. and Mueller, Jenna and Brown, J. Quincy and Ramanujam, Nimmi and Willett, Rebecca M.},
  booktitle = {Proceedings of SPIE},
  volume = {8138},
  number = {1},
  month = {sep},
  year = {2011},
  pages = {81380F–81380F-6},
  abstract = {This paper explores the use of Poisson sparse decomposition methods for computationally separating tumor nuclei from normal tissue structures in photon-limited microendoscopic images. Sparse decomposition tools are a natural fit for this application with promising preliminary results. However, there are significant the tradeoffs among different algorithms used for Poisson sparse decomposition which are described in detail and demonstrated via simulation.}
}