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Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images

The accurate segmentation of the optic disc (OD) in fundus images is a crucial step for the analysis of many retinal diseases. However, because of problems such as vascular occlusion, parapapillary atrophy (PPA), and low contrast, accurate OD segmentation is still a challenging task. Therefore, this...

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Autores principales: Xue, Xiaozhong, Wang, Linni, Du, Weiwei, Fujiwara, Yusuke, Peng, Yahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506381/
https://www.ncbi.nlm.nih.gov/pubmed/36146249
http://dx.doi.org/10.3390/s22186899
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author Xue, Xiaozhong
Wang, Linni
Du, Weiwei
Fujiwara, Yusuke
Peng, Yahui
author_facet Xue, Xiaozhong
Wang, Linni
Du, Weiwei
Fujiwara, Yusuke
Peng, Yahui
author_sort Xue, Xiaozhong
collection PubMed
description The accurate segmentation of the optic disc (OD) in fundus images is a crucial step for the analysis of many retinal diseases. However, because of problems such as vascular occlusion, parapapillary atrophy (PPA), and low contrast, accurate OD segmentation is still a challenging task. Therefore, this paper proposes a multiple preprocessing hybrid level set model (HLSM) based on area and shape for OD segmentation. The area-based term represents the difference of average pixel values between the inside and outside of a contour, while the shape-based term measures the distance between a prior shape model and the contour. The average intersection over union (IoU) of the proposed method was 0.9275, and the average four-side evaluation (FSE) was 4.6426 on a public dataset with narrow-angle fundus images. The IoU was 0.8179 and the average FSE was 3.5946 on a wide-angle fundus image dataset compiled from a hospital. The results indicate that the proposed multiple preprocessing HLSM is effective in OD segmentation.
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spelling pubmed-95063812022-09-24 Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images Xue, Xiaozhong Wang, Linni Du, Weiwei Fujiwara, Yusuke Peng, Yahui Sensors (Basel) Article The accurate segmentation of the optic disc (OD) in fundus images is a crucial step for the analysis of many retinal diseases. However, because of problems such as vascular occlusion, parapapillary atrophy (PPA), and low contrast, accurate OD segmentation is still a challenging task. Therefore, this paper proposes a multiple preprocessing hybrid level set model (HLSM) based on area and shape for OD segmentation. The area-based term represents the difference of average pixel values between the inside and outside of a contour, while the shape-based term measures the distance between a prior shape model and the contour. The average intersection over union (IoU) of the proposed method was 0.9275, and the average four-side evaluation (FSE) was 4.6426 on a public dataset with narrow-angle fundus images. The IoU was 0.8179 and the average FSE was 3.5946 on a wide-angle fundus image dataset compiled from a hospital. The results indicate that the proposed multiple preprocessing HLSM is effective in OD segmentation. MDPI 2022-09-13 /pmc/articles/PMC9506381/ /pubmed/36146249 http://dx.doi.org/10.3390/s22186899 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xue, Xiaozhong
Wang, Linni
Du, Weiwei
Fujiwara, Yusuke
Peng, Yahui
Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images
title Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images
title_full Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images
title_fullStr Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images
title_full_unstemmed Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images
title_short Multiple Preprocessing Hybrid Level Set Model for Optic Disc Segmentation in Fundus Images
title_sort multiple preprocessing hybrid level set model for optic disc segmentation in fundus images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506381/
https://www.ncbi.nlm.nih.gov/pubmed/36146249
http://dx.doi.org/10.3390/s22186899
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