Retinal Vessel Segmentation by U-Net with VGG-16 Backbone on Patched Images with Smooth Blending

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254784" target="_blank" >RIV/61989100:27240/23:10254784 - isvavai.cz</a>
Alternative codes found
RIV/68145535:_____/23:00585312
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-40971-4_44" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-40971-4_44</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-40971-4_44" target="_blank" >10.1007/978-3-031-40971-4_44</a>

Result language
angličtina
Original language name
Retinal Vessel Segmentation by U-Net with VGG-16 Backbone on Patched Images with Smooth Blending
Original language description
Detecting vessels in retinal images is crucial for various medical applications, including diagnosing and monitoring eye diseases such as diabetic retinopathy, glaucoma, and macular degeneration. This paper presents a study on applying the U-Net architecture with a VGG-16 backbone for retinal vessel segmentation trained on patched images. As a source of training images, three well-labeled datasets, DRIVE, STARE, and CHASE DB1, were used for the training of the segmentation algorithm. We implemented the task-specific data class to further divide training images into patches, and the data augmentation techniques to increase the size of training set and to promote the model's generalization ability. Additionally, a blending technique was employed to achieve smooth predictions by blending image patches. The experimental results highlight the effectiveness of the proposed approach in accurately detecting blood vessels in retinal images, providing promising prospects for improving ophthalmic diagnosis and treatment.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes on Data Engineering and Communications Technologies. Volume 182
ISBN
978-3-031-40970-7
ISSN
2367-4512
e-ISSN
2367-4520
Number of pages
10
Pages from-to
465-474
Publisher name
Springer
Place of publication
Cham
Event location
Čiang Mai
Event date
Sep 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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