Retinal layer segmentation in pathological OKT B-scans based on anatomical surfaces

Юсупов, О.Р., Шамсиева, Х.Г.

Рақамли технологияларнинг назарий ва амалий масалалари · 2026-yil

Annotatsiya

Pathological changes in optical coherence tomography (OCT) B-scan images complicate the automatic detection of retinal layer boundaries. This study proposes a sequential anatomical surface detection algorithm for extracting the complete retinal layer from pathological OCT images. After speckle noise reduction, the internal limiting membrane (ILM), retinal pigment epithelium (RPE), and lower RPE/BM boundary are sequentially localized according to their anatomical and reflectivity characteristics. The detected surfaces are refined using a local minimum-cost path, and the retinal mask is then generated by fully preserving the region between the ILM and BM boundaries. This approach reduces the risk of losing pathological structures during segmentation, including intraretinal cysts, CNV-related abnormalities, and drusen. The proposed algorithm does not require supervised training and enables the formation of a retinal region of interest for subsequent automated analysis.

Maqola ma’lumotlari
MualliflarЮсупов, О.Р., Шамсиева, Х.Г.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2026-08-02
Jild9
Son3
Betlar82-89
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v9i3.403
Indeksga qo‘shilgan2026-08-26

Kalit so‘zlar

оптическая когерентная томография, патологические B-сканы, сегментация слоя сетчатки, определение анатомических поверхностей, подавление спекл-шума, динамическое программирование, ретинальная область интереса, optical coherence tomography, pathological B-scans, retinal layer segmentation, anatomical surface detection, speckle noise reduction, dynamic programming, retinal region of interest

Ilmiy soha

Iqtibos keltirish

APAЮсупов, О.Р., & Шамсиева, Х.Г. (2026). Retinal layer segmentation in pathological OKT B-scans based on anatomical surfaces. Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 82-89. https://doi.org/10.62132/ijdt.v9i3.403
GOST (OAK)Юсупов, О.Р., Шамсиева, Х.Г. Retinal layer segmentation in pathological OKT B-scans based on anatomical surfaces // Рақамли технологияларнинг назарий ва амалий масалалари. – 2026. – T. 9, № 3. – P. 82-89. – DOI: 10.62132/ijdt.v9i3.403.
MLAЮсупов, О.Р., and Шамсиева, Х.Г. “Retinal layer segmentation in pathological OKT B-scans based on anatomical surfaces.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 82-89, 2026. https://doi.org/10.62132/ijdt.v9i3.403
ChicagoЮсупов, О.Р., and Шамсиева, Х.Г. “Retinal layer segmentation in pathological OKT B-scans based on anatomical surfaces.” Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 82-89 (2026). https://doi.org/10.62132/ijdt.v9i3.403
HarvardЮсупов, О.Р., and Шамсиева, Х.Г (2026) ‘Retinal layer segmentation in pathological OKT B-scans based on anatomical surfaces’, Рақамли технологияларнинг назарий ва амалий масалалари, 9(3), 82-89. https://doi.org/10.62132/ijdt.v9i3.403
BibTeX
@article{article2026,
  title = {Retinal layer segmentation in pathological OKT B-scans based on anatomical surfaces},
  author = {Юсупов, О.Р. and Шамсиева, Х.Г.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2026},
  volume = {9},
  number = {3},
  pages = {82-89},
  doi = {10.62132/ijdt.v9i3.403},
  url = {https://doi.org/10.62132/ijdt.v9i3.403}
}

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