Vasculature-based biomarkers and segmentation from hyperspectral images of murine peritonitis model

Mapping Intimacies ◽

10.1117/12.2614589 ◽

2021 ◽

Author(s):

Jost Stergar ◽

Katja Lakota ◽

Martina Perseˇ ◽

Matija Tomsic ◽

Matija Milanic

Keyword(s):

Hyperspectral Images ◽

Peritonitis Model

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Lysis-Deficient Bacteriophage Therapy Decreases Endotoxin and Inflammatory Mediator Release and Improves Survival in a Murine Peritonitis Model

Yearbook of Surgery ◽

10.1016/s0090-3671(08)70406-3 ◽

2006 ◽

Vol 2006 ◽

pp. 137

Author(s):

T.L. Pruett

Keyword(s):

Inflammatory Mediator ◽

Mediator Release ◽

Bacteriophage Therapy ◽

Peritonitis Model

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NEURAL NETWORK CLASSIFICATION OF HYPERSPECTRAL IMAGES ON THE BASIS OF THE HILBERT-HUANG TRANSFORM

Автометрия ◽

10.15372/aut20170209 ◽

2017 ◽

Keyword(s):

Neural Network ◽

Hyperspectral Images ◽

Hilbert Huang Transform ◽

Neural Network Classification

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Pre-Processing of Hyperspectral Images Using Nonlinear Filters

Information Technologies and Control ◽

10.2478/itc-2013-0002 ◽

2013 ◽

Vol 11 (1) ◽

pp. 8-13

Author(s):

V. Behar ◽

V. Bogdanova

Keyword(s):

Signal To Noise Ratio ◽

Correlation Coefficients ◽

Hyperspectral Images ◽

Spectral Correlation ◽

Edge Preserving ◽

Improvement Factor ◽

Filter Output ◽

Average Improvement ◽

Processing Procedure

Abstract In this paper the use of a set of nonlinear edge-preserving filters is proposed as a pre-processing stage with the purpose to improve the quality of hyperspectral images before object detection. The capability of each nonlinear filter to improve images, corrupted by spatially and spectrally correlated Gaussian noise, is evaluated in terms of the average Improvement factor in the Peak Signal to Noise Ratio (IPSNR), estimated at the filter output. The simulation results demonstrate that this pre-processing procedure is efficient only in case the spatial and spectral correlation coefficients of noise do not exceed the value of 0.6

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