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Width-wise vessel bifurcation for improved retinal vessel segmentation

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Standard

Width-wise vessel bifurcation for improved retinal vessel segmentation. / Khan, Tariq M.; Khan, Mohammad A.U.; Rehman, Naveed Ur et al.
In: Biomedical Signal Processing and Control, Vol. 71, No. Part A, 103169, 01.2022.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Khan, TM, Khan, MAU, Rehman, NU, Naveed, K, Afridi, IU, Naqvi, SS & Raazak, I 2022, 'Width-wise vessel bifurcation for improved retinal vessel segmentation', Biomedical Signal Processing and Control, vol. 71, no. Part A, 103169. https://doi.org/10.1016/j.bspc.2021.103169

APA

Khan, T. M., Khan, M. A. U., Rehman, N. U., Naveed, K., Afridi, I. U., Naqvi, S. S., & Raazak, I. (2022). Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomedical Signal Processing and Control, 71(Part A), Article 103169. https://doi.org/10.1016/j.bspc.2021.103169

CBE

Khan TM, Khan MAU, Rehman NU, Naveed K, Afridi IU, Naqvi SS, Raazak I. 2022. Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomedical Signal Processing and Control. 71(Part A):Article 103169. https://doi.org/10.1016/j.bspc.2021.103169

MLA

Khan, Tariq M. et al. "Width-wise vessel bifurcation for improved retinal vessel segmentation". Biomedical Signal Processing and Control. 2022. 71(Part A). https://doi.org/10.1016/j.bspc.2021.103169

Vancouver

Khan TM, Khan MAU, Rehman NU, Naveed K, Afridi IU, Naqvi SS et al. Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomedical Signal Processing and Control. 2022 Jan;71(Part A):103169. doi: 10.1016/j.bspc.2021.103169

Author

Khan, Tariq M. ; Khan, Mohammad A.U. ; Rehman, Naveed Ur et al. / Width-wise vessel bifurcation for improved retinal vessel segmentation. In: Biomedical Signal Processing and Control. 2022 ; Vol. 71, No. Part A.

Bibtex

@article{ebd5690f59874cfcac4ccaedd0d44f81,
title = "Width-wise vessel bifurcation for improved retinal vessel segmentation",
abstract = "Vessel local characteristics such as noise, illumination, and direction vary significantly in a fundus image, making it difficult to segment the vessel tree structure as a whole. To facilitate vessel detection, an alternative procedure proposed here, whereby retinal vessels first classified into two categories, large and small. Then, for its unique characteristics, each group has been processed with its own enhancement and detection filter. The sensitivity of the proposed method is boosted by capturing tiny vessels through a directional filter bank followed by its associated triple-stick filtering. Additionally, the specificity of the proposed method is enhanced through noise suppression attributed largely to the proposed BM3D filtering and multi-scale line detection approach. As a result, the detection accuracy on the DRIVE, STARE, and CHASE DB1 datasets is significantly improved, with scores of 0.9610, 0.9586, and 0.9578, respectively.",
keywords = "Diabetic retinopathy, Multiscale line detector, Retinal vessels, Triple stick filter",
author = "Khan, {Tariq M.} and Khan, {Mohammad A.U.} and Rehman, {Naveed Ur} and Khuram Naveed and Afridi, {Imran Uddin} and Naqvi, {Syed Saud} and Imran Raazak",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2022",
month = jan,
doi = "10.1016/j.bspc.2021.103169",
language = "English",
volume = "71",
journal = "Biomedical Signal Processing and Control",
issn = "1746-8094",
publisher = "Elsevier BV",
number = "Part A",

}

RIS

TY - JOUR

T1 - Width-wise vessel bifurcation for improved retinal vessel segmentation

AU - Khan, Tariq M.

AU - Khan, Mohammad A.U.

AU - Rehman, Naveed Ur

AU - Naveed, Khuram

AU - Afridi, Imran Uddin

AU - Naqvi, Syed Saud

AU - Raazak, Imran

N1 - Publisher Copyright: © 2021 Elsevier Ltd

PY - 2022/1

Y1 - 2022/1

N2 - Vessel local characteristics such as noise, illumination, and direction vary significantly in a fundus image, making it difficult to segment the vessel tree structure as a whole. To facilitate vessel detection, an alternative procedure proposed here, whereby retinal vessels first classified into two categories, large and small. Then, for its unique characteristics, each group has been processed with its own enhancement and detection filter. The sensitivity of the proposed method is boosted by capturing tiny vessels through a directional filter bank followed by its associated triple-stick filtering. Additionally, the specificity of the proposed method is enhanced through noise suppression attributed largely to the proposed BM3D filtering and multi-scale line detection approach. As a result, the detection accuracy on the DRIVE, STARE, and CHASE DB1 datasets is significantly improved, with scores of 0.9610, 0.9586, and 0.9578, respectively.

AB - Vessel local characteristics such as noise, illumination, and direction vary significantly in a fundus image, making it difficult to segment the vessel tree structure as a whole. To facilitate vessel detection, an alternative procedure proposed here, whereby retinal vessels first classified into two categories, large and small. Then, for its unique characteristics, each group has been processed with its own enhancement and detection filter. The sensitivity of the proposed method is boosted by capturing tiny vessels through a directional filter bank followed by its associated triple-stick filtering. Additionally, the specificity of the proposed method is enhanced through noise suppression attributed largely to the proposed BM3D filtering and multi-scale line detection approach. As a result, the detection accuracy on the DRIVE, STARE, and CHASE DB1 datasets is significantly improved, with scores of 0.9610, 0.9586, and 0.9578, respectively.

KW - Diabetic retinopathy

KW - Multiscale line detector

KW - Retinal vessels

KW - Triple stick filter

UR - http://www.scopus.com/inward/record.url?scp=85115230666&partnerID=8YFLogxK

U2 - 10.1016/j.bspc.2021.103169

DO - 10.1016/j.bspc.2021.103169

M3 - Journal article

AN - SCOPUS:85115230666

VL - 71

JO - Biomedical Signal Processing and Control

JF - Biomedical Signal Processing and Control

SN - 1746-8094

IS - Part A

M1 - 103169

ER -