Pixel classification method in optical coherence tomography for tumor segmentation and its complementary usage with OCT microangiography-Reference-Cited by-同舟云学术

Pixel classification method in optical coherence tomography for tumor segmentation and its complementary usage with OCT microangiography

Published:2017-12-18 Issue:4 Volume:11 Page:e201700072
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Moiseev Alexander¹²,Snopova Ludmila²,Kuznetsov Sergey²,Buyanova Natalia²,Elagin Vadim²,Sirotkina Marina²,Kiseleva Elena²,Matveev Lev³²,Zaitsev Vladimir³²,Feldchtein Felix²,Zagaynova Elena²,Gelikonov Valentin¹²,Gladkova Natalia²,Vitkin Alex²⁴⁵,Gelikonov Grigory¹²

Affiliation:

1. Nano-optics and Highly Sensitive Optical Measurement Department, Institute of Applied Physics Russian Academy of Sciences; Nizhny Novgorod Russia

2. Laboratory of Optical Coherent Tomography, Nizhny Novgorod State Medical Academy; Nizhny Novgorod Russia

3. Nonlinear Geophysical Processes Department, Russian Academy of Sciences; Nizhny Novgorod Russia

4. Departments of Medical Biophysics and Radiation Oncology, University of Toronto; Ontario Canada

5. Ontario Cancer Institute, University Health Network, Toronto; Ontario Canada

Funder

Radford University

Russian Foundation for Basic Research

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jbio.201700072/fullpdf

Reference26 articles.

1. Radiomics: Extracting more information from medical images using advanced feature analysis

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3. Volumetric CT-based segmentation of NSCLC using 3D-Slicer

4. CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

5. Somatic mutations associated with MRI-derived volumetric features in glioblastoma

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