Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection

10.1371/journal.pone.0125183

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Bibliographic Details
Main Authors:	Tiwari S., Reddy V.B., Bhargava R., Raman J.
Other Authors:	SURGERY
Format:	Article
Published:	2019
Subjects:	Article automation cardiac graft rejection clinical article clinical effectiveness computer assisted diagnosis controlled study diagnostic accuracy diagnostic procedure diagnostic test accuracy study heart muscle biopsy histopathology human human tissue image quality imaging system immune response infrared spectroscopy intermethod comparison molecular recognition biopsy Cardiovascular Diseases computer simulation diagnostic imaging graft rejection heart transplantation microscopy pathology probability procedures receiver operating characteristic reproducibility Biopsy Computer Simulation Diagnostic Imaging Graft Rejection Heart Transplantation Humans Microscopy Probability Reproducibility of Results ROC Curve
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/161517
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1615172024-04-25T02:35:30Z Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection Tiwari S. Reddy V.B. Bhargava R. Raman J. SURGERY Article automation cardiac graft rejection clinical article clinical effectiveness computer assisted diagnosis controlled study diagnostic accuracy diagnostic procedure diagnostic test accuracy study heart muscle biopsy histopathology human human tissue image quality imaging system immune response infrared spectroscopy intermethod comparison molecular recognition biopsy Cardiovascular Diseases computer simulation diagnostic imaging graft rejection heart transplantation microscopy pathology probability procedures receiver operating characteristic reproducibility Biopsy Cardiovascular Diseases Computer Simulation Diagnostic Imaging Graft Rejection Heart Transplantation Humans Microscopy Probability Reproducibility of Results ROC Curve 10.1371/journal.pone.0125183 PLoS ONE 10 5 e0125183 2019-11-06T01:31:52Z 2019-11-06T01:31:52Z 2015 Article Tiwari S., Reddy V.B., Bhargava R., Raman J. (2015). Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection. PLoS ONE 10 (5) : e0125183. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0125183 19326203 https://scholarbank.nus.edu.sg/handle/10635/161517 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Article automation cardiac graft rejection clinical article clinical effectiveness computer assisted diagnosis controlled study diagnostic accuracy diagnostic procedure diagnostic test accuracy study heart muscle biopsy histopathology human human tissue image quality imaging system immune response infrared spectroscopy intermethod comparison molecular recognition biopsy Cardiovascular Diseases computer simulation diagnostic imaging graft rejection heart transplantation microscopy pathology probability procedures receiver operating characteristic reproducibility Biopsy Cardiovascular Diseases Computer Simulation Diagnostic Imaging Graft Rejection Heart Transplantation Humans Microscopy Probability Reproducibility of Results ROC Curve
spellingShingle	Article automation cardiac graft rejection clinical article clinical effectiveness computer assisted diagnosis controlled study diagnostic accuracy diagnostic procedure diagnostic test accuracy study heart muscle biopsy histopathology human human tissue image quality imaging system immune response infrared spectroscopy intermethod comparison molecular recognition biopsy Cardiovascular Diseases computer simulation diagnostic imaging graft rejection heart transplantation microscopy pathology probability procedures receiver operating characteristic reproducibility Biopsy Cardiovascular Diseases Computer Simulation Diagnostic Imaging Graft Rejection Heart Transplantation Humans Microscopy Probability Reproducibility of Results ROC Curve Tiwari S. Reddy V.B. Bhargava R. Raman J. Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection
description	10.1371/journal.pone.0125183
author2	SURGERY
author_facet	SURGERY Tiwari S. Reddy V.B. Bhargava R. Raman J.
format	Article
author	Tiwari S. Reddy V.B. Bhargava R. Raman J.
author_sort	Tiwari S.
title	Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection
title_short	Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection
title_full	Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection
title_fullStr	Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection
title_full_unstemmed	Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection
title_sort	computational chemical imaging for cardiovascular pathology: chemical microscopic imaging accurately determines cardiac transplant rejection
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/161517
_version_	1800913797944180736

Computational chemical imaging for cardiovascular pathology: Chemical microscopic imaging accurately determines cardiac transplant rejection

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