OCT Segmentation via Deep Learning: A Review of Recent Work

M. Pekala; N. Joshi; T. Y.Alvin Liu; N. M. Bressler; D. Cabrera DeBuc; P. Burlina

doi:10.1007/978-3-030-21074-8_27

OCT Segmentation via Deep Learning: A Review of Recent Work

M. Pekala, N. Joshi, T. Y.Alvin Liu, N. M. Bressler, D. Cabrera DeBuc, P. Burlina

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Optical coherence tomography (OCT) is an important retinal imaging method since it is a non-invasive, high-resolution imaging technique and is able to reveal the fine structure within the human retina. It has applications for retinal as well as neurological disease characterization and diagnostics. The use of machine learning techniques for analyzing the retinal layers and lesions seen in OCT can greatly facilitate such diagnostics tasks. The use of deep learning (DL) methods principally using fully convolutional networks has recently resulted in significant progress in automated segmentation of optical coherence tomography. Recent work in that area is reviewed herein.

Original language	English (US)
Title of host publication	Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers
Editors	Gustavo Carneiro, Shaodi You
Publisher	Springer Verlag
Pages	316-322
Number of pages	7
ISBN (Print)	9783030210731
DOIs	https://doi.org/10.1007/978-3-030-21074-8_27
State	Published - 2019
Event	14th Asian Conference on Computer Vision, ACCV 2018 - Perth, Australia Duration: Dec 2 2018 → Dec 6 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11367 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th Asian Conference on Computer Vision, ACCV 2018
Country	Australia
City	Perth
Period	12/2/18 → 12/6/18

Keywords

Neurodegenerative
OCT segmentation
retinal and vascular diseases

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-21074-8_27

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Cite this

Pekala, M., Joshi, N., Liu, T. Y. A., Bressler, N. M., Cabrera DeBuc, D., & Burlina, P. (2019). OCT Segmentation via Deep Learning: A Review of Recent Work. In G. Carneiro, & S. You (Eds.), Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers (pp. 316-322). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11367 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-21074-8_27

OCT Segmentation via Deep Learning : A Review of Recent Work. / Pekala, M.; Joshi, N.; Liu, T. Y.Alvin ; Bressler, N. M.; Cabrera DeBuc, D.; Burlina, P.

Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers. ed. / Gustavo Carneiro; Shaodi You. Springer Verlag, 2019. p. 316-322 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11367 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pekala, M, Joshi, N, Liu, TYA , Bressler, NM, Cabrera DeBuc, D & Burlina, P 2019, OCT Segmentation via Deep Learning: A Review of Recent Work. in G Carneiro & S You (eds), Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11367 LNCS, Springer Verlag, pp. 316-322, 14th Asian Conference on Computer Vision, ACCV 2018, Perth, Australia, 12/2/18. https://doi.org/10.1007/978-3-030-21074-8_27

Pekala M, Joshi N, Liu TYA , Bressler NM, Cabrera DeBuc D, Burlina P. OCT Segmentation via Deep Learning: A Review of Recent Work. In Carneiro G, You S, editors, Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers. Springer Verlag. 2019. p. 316-322. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-21074-8_27

Pekala, M. ; Joshi, N. ; Liu, T. Y.Alvin ; Bressler, N. M. ; Cabrera DeBuc, D. ; Burlina, P. / OCT Segmentation via Deep Learning : A Review of Recent Work. Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers. editor / Gustavo Carneiro ; Shaodi You. Springer Verlag, 2019. pp. 316-322 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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