Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery

Nguyen P. Nguyen; Ramakrishna Surya; Matthew Maschmann; Prasad Calyam; Kannappan Palaniappan; Filiz Bunyak

doi:10.1007/978-3-031-25085-9_24

Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery

Nguyen P. Nguyen
, Ramakrishna Surya
, Matthew Maschmann
, Prasad Calyam
, Kannappan Palaniappan
, Filiz Bunyak

University of Missouri-Columbia

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

Original language	English
Title of host publication	Computer Vision – ECCV 2022 Workshops, Proceedings
Editors	Leonid Karlinsky, Tomer Michaeli, Ko Nishino
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	412-428
Number of pages	17
ISBN (Print)	9783031250842
DOIs	https://doi.org/10.1007/978-3-031-25085-9_24
State	Published - 2023
Externally published	Yes
Event	17th European Conference on Computer Vision, ECCV 2022 - Tel Aviv, Israel Duration: Oct 23 2022 → Oct 27 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13808 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th European Conference on Computer Vision, ECCV 2022
Country/Territory	Israel
City	Tel Aviv
Period	10/23/22 → 10/27/22

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Carbon nanotubes (cnt)
Electron microscopy
Self-supervised learning
Semantic segmentation

Access to Document

10.1007/978-3-031-25085-9_24

Cite this

Nguyen, N. P., Surya, R., Maschmann, M., Calyam, P., Palaniappan, K., & Bunyak, F. (2023). Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Computer Vision – ECCV 2022 Workshops, Proceedings (pp. 412-428). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13808 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-25085-9_24

Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. / Nguyen, Nguyen P.; Surya, Ramakrishna; Maschmann, Matthew et al.
Computer Vision – ECCV 2022 Workshops, Proceedings. ed. / Leonid Karlinsky; Tomer Michaeli; Ko Nishino. Springer Science and Business Media Deutschland GmbH, 2023. p. 412-428 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13808 LNCS).

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

Nguyen, NP, Surya, R, Maschmann, M, Calyam, P, Palaniappan, K & Bunyak, F 2023, Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. in L Karlinsky, T Michaeli & K Nishino (eds), Computer Vision – ECCV 2022 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13808 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 412-428, 17th European Conference on Computer Vision, ECCV 2022, Tel Aviv, Israel, 10/23/22. https://doi.org/10.1007/978-3-031-25085-9_24

Nguyen NP, Surya R, Maschmann M, Calyam P, Palaniappan K, Bunyak F. Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. In Karlinsky L, Michaeli T, Nishino K, editors, Computer Vision – ECCV 2022 Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 412-428. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-25085-9_24

Nguyen, Nguyen P. ; Surya, Ramakrishna ; Maschmann, Matthew et al. / Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. Computer Vision – ECCV 2022 Workshops, Proceedings. editor / Leonid Karlinsky ; Tomer Michaeli ; Ko Nishino. Springer Science and Business Media Deutschland GmbH, 2023. pp. 412-428 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{c07cd4a1a56f41fe9d16371357db35ea,

title = "Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery",

keywords = "Carbon nanotubes (cnt), Electron microscopy, Self-supervised learning, Semantic segmentation",

author = "Nguyen, \{Nguyen P.\} and Ramakrishna Surya and Matthew Maschmann and Prasad Calyam and Kannappan Palaniappan and Filiz Bunyak",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 17th European Conference on Computer Vision, ECCV 2022 ; Conference date: 23-10-2022 Through 27-10-2022",

year = "2023",

doi = "10.1007/978-3-031-25085-9\_24",

language = "English",

isbn = "9783031250842",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "412--428",

editor = "Leonid Karlinsky and Tomer Michaeli and Ko Nishino",

booktitle = "Computer Vision – ECCV 2022 Workshops, Proceedings",

}

TY - GEN

T1 - Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery

AU - Nguyen, Nguyen P.

AU - Surya, Ramakrishna

AU - Maschmann, Matthew

AU - Calyam, Prasad

AU - Palaniappan, Kannappan

AU - Bunyak, Filiz

PY - 2023

Y1 - 2023

KW - Carbon nanotubes (cnt)

KW - Electron microscopy

KW - Self-supervised learning

KW - Semantic segmentation

UR - https://www.scopus.com/pages/publications/85151345128

UR - https://www.scopus.com/pages/publications/85151345128#tab=citedBy

U2 - 10.1007/978-3-031-25085-9_24

DO - 10.1007/978-3-031-25085-9_24

M3 - Conference contribution

AN - SCOPUS:85151345128

SN - 9783031250842

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 412

EP - 428

BT - Computer Vision – ECCV 2022 Workshops, Proceedings

A2 - Karlinsky, Leonid

A2 - Michaeli, Tomer

A2 - Nishino, Ko

PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th European Conference on Computer Vision, ECCV 2022

Y2 - 23 October 2022 through 27 October 2022

ER -