Model-based correction of segmentation errors in digitised histological images

David A. Randell; Antony Galton; Shereen Fouad; Hisham Mehanna; Gabriel Landini

doi:10.1007/978-3-319-60964-5_63

Model-based correction of segmentation errors in digitised histological images

David A. Randell^*, Antony Galton, Shereen Fouad, Hisham Mehanna, Gabriel Landini

^*Corresponding author for this work

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

1 Citation (Scopus)

Original language	English
Title of host publication	Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings
Editors	Victor Gonzalez-Castro, Maria Valdes Hernandez
Publisher	Springer Verlag
Pages	718-730
Number of pages	13
ISBN (Print)	9783319609638
DOIs	https://doi.org/10.1007/978-3-319-60964-5_63
Publication status	Published (VoR) - 2017
Event	21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017 - Edinburgh, United Kingdom Duration: 11 Jul 2017 → 13 Jul 2017

Publication series

Name	Communications in Computer and Information Science
Volume	723
ISSN (Print)	1865-0929

Conference

Conference	21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017
Country/Territory	United Kingdom
City	Edinburgh
Period	11/07/17 → 13/07/17

Keywords

Graph theory
Histological image processing
Mereotopology

Access to Document

10.1007/978-3-319-60964-5_63

Cite this

Randell, D. A., Galton, A., Fouad, S., Mehanna, H., & Landini, G. (2017). Model-based correction of segmentation errors in digitised histological images. In V. Gonzalez-Castro, & M. Valdes Hernandez (Eds.), Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings (pp. 718-730). (Communications in Computer and Information Science; Vol. 723). Springer Verlag. https://doi.org/10.1007/978-3-319-60964-5_63

Randell, David A. ; Galton, Antony ; Fouad, Shereen et al. / Model-based correction of segmentation errors in digitised histological images. Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings. editor / Victor Gonzalez-Castro ; Maria Valdes Hernandez. Springer Verlag, 2017. pp. 718-730 (Communications in Computer and Information Science).

@inproceedings{20b075e2d84b472192b188051e95d9ef,

title = "Model-based correction of segmentation errors in digitised histological images",

keywords = "Graph theory, Histological image processing, Mereotopology",

author = "Randell, {David A.} and Antony Galton and Shereen Fouad and Hisham Mehanna and Gabriel Landini",

note = "Funding Information: This work was supported by the EPSRC through funding under grant EP/M023869/1, “Novel context-based segmentation algorithms for intelligent microscopy”. Publisher Copyright: {\textcopyright} The Author(s) 2017.; 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017 ; Conference date: 11-07-2017 Through 13-07-2017",

year = "2017",

doi = "10.1007/978-3-319-60964-5_63",

language = "English",

isbn = "9783319609638",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "718--730",

editor = "Victor Gonzalez-Castro and {Valdes Hernandez}, Maria",

booktitle = "Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings",

}

Randell, DA, Galton, A, Fouad, S, Mehanna, H & Landini, G 2017, Model-based correction of segmentation errors in digitised histological images. in V Gonzalez-Castro & M Valdes Hernandez (eds), Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings. Communications in Computer and Information Science, vol. 723, Springer Verlag, pp. 718-730, 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, Edinburgh, United Kingdom, 11/07/17. https://doi.org/10.1007/978-3-319-60964-5_63

Model-based correction of segmentation errors in digitised histological images. / Randell, David A.; Galton, Antony; Fouad, Shereen et al.
Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings. ed. / Victor Gonzalez-Castro; Maria Valdes Hernandez. Springer Verlag, 2017. p. 718-730 (Communications in Computer and Information Science; Vol. 723).

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

TY - GEN

T1 - Model-based correction of segmentation errors in digitised histological images

AU - Randell, David A.

AU - Galton, Antony

AU - Fouad, Shereen

AU - Mehanna, Hisham

AU - Landini, Gabriel

N1 - Funding Information: This work was supported by the EPSRC through funding under grant EP/M023869/1, “Novel context-based segmentation algorithms for intelligent microscopy”. Publisher Copyright: © The Author(s) 2017.

PY - 2017

Y1 - 2017

KW - Graph theory

KW - Histological image processing

KW - Mereotopology

UR - http://www.scopus.com/inward/record.url?scp=85023166870&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85023166870&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-60964-5_63

DO - 10.1007/978-3-319-60964-5_63

M3 - Conference contribution

AN - SCOPUS:85023166870

SN - 9783319609638

T3 - Communications in Computer and Information Science

SP - 718

EP - 730

BT - Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings

A2 - Gonzalez-Castro, Victor

A2 - Valdes Hernandez, Maria

PB - Springer Verlag

T2 - 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017

Y2 - 11 July 2017 through 13 July 2017

ER -

Randell DA, Galton A, Fouad S, Mehanna H, Landini G. Model-based correction of segmentation errors in digitised histological images. In Gonzalez-Castro V, Valdes Hernandez M, editors, Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings. Springer Verlag. 2017. p. 718-730. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-60964-5_63

Model-based correction of segmentation errors in digitised histological images

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this