Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging
<p>Abstract</p> <p>This study is an initial investigation on the capability of multispectral imaging to capture subtle spectral information that would enable the automatic delineation between the eosinophilic esophagitis and other eosin stained tissue components, especially the RBC...
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Format: | Article |
Language: | English |
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BMC
2011-03-01
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Series: | Diagnostic Pathology |
_version_ | 1828736921604456448 |
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author | Yagi Yukako Bautista Pinky A |
author_facet | Yagi Yukako Bautista Pinky A |
author_sort | Yagi Yukako |
collection | DOAJ |
description | <p>Abstract</p> <p>This study is an initial investigation on the capability of multispectral imaging to capture subtle spectral information that would enable the automatic delineation between the eosinophilic esophagitis and other eosin stained tissue components, especially the RBCs. In the method, a principal component analysis (PCA) was performed on the spectral transmittance samples of the different tissue components, excluding however the transmittance samples of the eosinophilic esophagitis. From the average spectral error configuration of the eosinophilic esophagitis transmittance samples, i.e. the difference between the actual transmittance and the estimated transmittance using <it>m</it> PC vectors, we indentified two spectral bands by which we can localize the eosinophils. Initial results show the possibility of automatically localizing the eosinophilic esophagitis by utilizing spectral information.</p> |
first_indexed | 2024-04-12T23:35:12Z |
format | Article |
id | doaj.art-93d4305ad99c4013a3cf1ab779c144bd |
institution | Directory Open Access Journal |
issn | 1746-1596 |
language | English |
last_indexed | 2024-04-12T23:35:12Z |
publishDate | 2011-03-01 |
publisher | BMC |
record_format | Article |
series | Diagnostic Pathology |
spelling | doaj.art-93d4305ad99c4013a3cf1ab779c144bd2022-12-22T03:12:11ZengBMCDiagnostic Pathology1746-15962011-03-016Suppl 1S210.1186/1746-1596-6-S1-S2Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imagingYagi YukakoBautista Pinky A<p>Abstract</p> <p>This study is an initial investigation on the capability of multispectral imaging to capture subtle spectral information that would enable the automatic delineation between the eosinophilic esophagitis and other eosin stained tissue components, especially the RBCs. In the method, a principal component analysis (PCA) was performed on the spectral transmittance samples of the different tissue components, excluding however the transmittance samples of the eosinophilic esophagitis. From the average spectral error configuration of the eosinophilic esophagitis transmittance samples, i.e. the difference between the actual transmittance and the estimated transmittance using <it>m</it> PC vectors, we indentified two spectral bands by which we can localize the eosinophils. Initial results show the possibility of automatically localizing the eosinophilic esophagitis by utilizing spectral information.</p> |
spellingShingle | Yagi Yukako Bautista Pinky A Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging Diagnostic Pathology |
title | Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging |
title_full | Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging |
title_fullStr | Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging |
title_full_unstemmed | Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging |
title_short | Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging |
title_sort | localization of eosinophilic esophagitis from h e stained images using multispectral imaging |
work_keys_str_mv | AT yagiyukako localizationofeosinophilicesophagitisfromhestainedimagesusingmultispectralimaging AT bautistapinkya localizationofeosinophilicesophagitisfromhestainedimagesusingmultispectralimaging |