Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images

Longitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular patt...

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Autores principales:	Esmaeili Nazila, Illanes Alfredo, Boese Axel, Davaris Nikolaos, Arens Christoph, Navab Nassir, Friebe Michael
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	contact endoscopy larynx classification Medicine R
Acceso en línea:	https://doaj.org/article/3e5b115d27284f26aaa9b1cc48c20953
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spelling	oai:doaj.org-article:3e5b115d27284f26aaa9b1cc48c209532021-12-05T14:10:42ZManual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images2364-550410.1515/cdbme-2020-3018https://doaj.org/article/3e5b115d27284f26aaa9b1cc48c209532020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3018https://doaj.org/toc/2364-5504Longitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular pattern in Larynx. The evaluation of these vascular patterns in CE+NBI images is a subjective process leading to differentiation difficulty and subjectivity between benign and malignant lesions. The main objective of this work is to compare multi-observer classification versus automatic classification of laryngeal lesions. Six clinicians visually classified CE+NBI images into benign and malignant lesions. For the automatic classification of CE+NBI images, we used an algorithm based on characterizing the level of the vessel’s disorder. The results of the manual classification showed that there is no objective interpretation, leading to difficulties to visually distinguish between benign and malignant lesions. The results of the automatic classification of CE+NBI images on the other hand showed the capability of the algorithm to solve these issues. Based on the observed results we believe that, the automatic approach could be a valuable tool to assist clinicians to classifying laryngeal lesions.Esmaeili NazilaIllanes AlfredoBoese AxelDavaris NikolaosArens ChristophNavab NassirFriebe MichaelDe Gruyterarticlecontact endoscopylarynxclassificationMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 70-73 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	contact endoscopy larynx classification Medicine R
spellingShingle	contact endoscopy larynx classification Medicine R Esmaeili Nazila Illanes Alfredo Boese Axel Davaris Nikolaos Arens Christoph Navab Nassir Friebe Michael Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images
description	Longitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular pattern in Larynx. The evaluation of these vascular patterns in CE+NBI images is a subjective process leading to differentiation difficulty and subjectivity between benign and malignant lesions. The main objective of this work is to compare multi-observer classification versus automatic classification of laryngeal lesions. Six clinicians visually classified CE+NBI images into benign and malignant lesions. For the automatic classification of CE+NBI images, we used an algorithm based on characterizing the level of the vessel’s disorder. The results of the manual classification showed that there is no objective interpretation, leading to difficulties to visually distinguish between benign and malignant lesions. The results of the automatic classification of CE+NBI images on the other hand showed the capability of the algorithm to solve these issues. Based on the observed results we believe that, the automatic approach could be a valuable tool to assist clinicians to classifying laryngeal lesions.
format	article
author	Esmaeili Nazila Illanes Alfredo Boese Axel Davaris Nikolaos Arens Christoph Navab Nassir Friebe Michael
author_facet	Esmaeili Nazila Illanes Alfredo Boese Axel Davaris Nikolaos Arens Christoph Navab Nassir Friebe Michael
author_sort	Esmaeili Nazila
title	Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images
title_short	Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images
title_full	Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images
title_fullStr	Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images
title_full_unstemmed	Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images
title_sort	manual versus automatic classification of laryngeal lesions based on vascular patterns in ce+nbi images
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/3e5b115d27284f26aaa9b1cc48c20953
work_keys_str_mv	AT esmaeilinazila manualversusautomaticclassificationoflaryngeallesionsbasedonvascularpatternsincenbiimages AT illanesalfredo manualversusautomaticclassificationoflaryngeallesionsbasedonvascularpatternsincenbiimages AT boeseaxel manualversusautomaticclassificationoflaryngeallesionsbasedonvascularpatternsincenbiimages AT davarisnikolaos manualversusautomaticclassificationoflaryngeallesionsbasedonvascularpatternsincenbiimages AT arenschristoph manualversusautomaticclassificationoflaryngeallesionsbasedonvascularpatternsincenbiimages AT navabnassir manualversusautomaticclassificationoflaryngeallesionsbasedonvascularpatternsincenbiimages AT friebemichael manualversusautomaticclassificationoflaryngeallesionsbasedonvascularpatternsincenbiimages
_version_	1718371835825881088

Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images

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