Modeling and Extraction of Retinal Blood Vessels from RetCam 3
Based on Morphological Segmentation

C 2020

Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation

KŘESŤANOVÁ, Alice, Jan KUBÍČEK, Juraj TIMKOVIČ, Marek PENHAKER, David OCZKA et. al.

Základní údaje

Originální název

Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation

Autoři

KŘESŤANOVÁ, Alice, Jan KUBÍČEK, Juraj TIMKOVIČ, Marek PENHAKER, David OCZKA a Jan VAŇUŠ

Vydání

Huk M., Maleszka M., Szczerbicki E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, od s. 255-263, 9 s. 2020

Nakladatel

Springer, Cham

Další údaje

Jazyk

angličtina

Typ výsledku

Kapitola resp. kapitoly v odborné knize

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Organizační jednotka

Lékařská fakulta

ISBN

978-3-030-14131-8

DOI

http://dx.doi.org/10.1007/978-3-030-14132-5_20

Štítky

topvydavatel

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 15. 3. 2021 11:42, Mgr. Tereza Miškechová

Anotace

V originále

This paper deals with the analysis and modeling of the retinal blood vessels system. The aim of the analysis is the design and implementation of a fully automated segmentation model based on the morphological segmentation, allowing for extraction of the blood system area within the binary model, where other retinal structures are suppressed. An important feature of the model is sensitivity and robustness to declare the efficacy of segmentation in an environment with worse image parameters. For this reason, the designed model is also tested for data where the vascular system is visualized under a low contrast. Part of the analysis is the comparative testing of the designed model against selected segmentation methods based on objective criteria. The designed model was tested and verified on dataset from system RetCam 3 containing 22 images.

Citovat

KŘESŤANOVÁ, Alice, Jan KUBÍČEK, Juraj TIMKOVIČ, Marek PENHAKER, David OCZKA a Jan VAŇUŠ. Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation. In Huk M., Maleszka M., Szczerbicki E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence. Springer, Cham, 2020, s. 255-263. ISBN 978-3-030-14131-8. Dostupné z: https://dx.doi.org/10.1007/978-3-030-14132-5_20.

@inbook{1730016,
   author = {Křesťanová, Alice and Kubíček, Jan and Timkovič, Juraj and Penhaker, Marek and Oczka, David and Vaňuš, Jan},
   booktitle = {Huk M., Maleszka M., Szczerbicki E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence},
   doi = {http://dx.doi.org/10.1007/978-3-030-14132-5_20},
   howpublished = {tištěná verze "print"},
   language = {eng},
   isbn = {978-3-030-14131-8},
   note = {Bez afiliace k MU.},
   pages = {255-263},
   publisher = {Springer, Cham},
   title = {Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation},
   year = {2020}
}

TY  - CHAP
ID  - 1730016
AU  - Křesťanová, Alice - Kubíček, Jan - Timkovič, Juraj - Penhaker, Marek - Oczka, David - Vaňuš, Jan
PY  - 2020
TI  - Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation
PB  - Springer, Cham
SN  - 9783030141318
N1  - Bez afiliace k MU.
N2  - This paper deals with the analysis and modeling of the retinal blood vessels system. The aim of the analysis is the design and implementation of a fully automated segmentation model based on the morphological segmentation, allowing for extraction of the blood system area within the binary model, where other retinal structures are suppressed. An important feature of the model is sensitivity and robustness to declare the efficacy of segmentation in an environment with worse image parameters. For this reason, the designed model is also tested for data where the vascular system is visualized under a low contrast. Part of the analysis is the comparative testing of the designed model against selected segmentation methods based on objective criteria. The designed model was tested and verified on dataset from system RetCam 3 containing 22 images.
ER  -

KŘESŤANOVÁ, Alice, Jan KUBÍČEK, Juraj TIMKOVIČ, Marek PENHAKER, David OCZKA a Jan VAŇUŠ. Modeling and Extraction of Retinal Blood Vessels from RetCam 3 Based on Morphological Segmentation. In \textit{Huk M., Maleszka M., Szczerbicki E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence}. Springer, Cham, 2020, s.~255-263. ISBN~978-3-030-14131-8. Dostupné z: https://dx.doi.org/10.1007/978-3-030-14132-5\_{}20.

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