Compresso: Efficient compression of segmentation data for connectomics

Brian Matejek; Daniel Haehn; Fritz Lekschas; Michael Mitzenmacher; Hanspeter Pfister

doi:10.1007/978-3-319-66182-7_89

Compresso: Efficient compression of segmentation data for connectomics

Brian Matejek
, Daniel Haehn
, Fritz Lekschas
, Michael Mitzenmacher
, Hanspeter Pfister

Computer Science

Harvard University

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

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings
Editors	Maxime Descoteaux, Simon Duchesne, Alfred Franz, Pierre Jannin, D. Louis Collins, Lena Maier-Hein
Publisher	Springer Verlag
Pages	781-788
Number of pages	8
ISBN (Print)	9783319661810
DOIs	https://doi.org/10.1007/978-3-319-66182-7_89
State	Published - 2017
Event	20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 - Quebec City, Canada Duration: Sep 11 2017 → Sep 13 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10433 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017
Country/Territory	Canada
City	Quebec City
Period	9/11/17 → 9/13/17

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Compression
Connectomics
Encoding
Segmentation

Access to Document

10.1007/978-3-319-66182-7_89

Cite this

Matejek, B., Haehn, D., Lekschas, F., Mitzenmacher, M., & Pfister, H. (2017). Compresso: Efficient compression of segmentation data for connectomics. In M. Descoteaux, S. Duchesne, A. Franz, P. Jannin, D. L. Collins, & L. Maier-Hein (Eds.), Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings (pp. 781-788). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10433 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-66182-7_89

Compresso: Efficient compression of segmentation data for connectomics. / Matejek, Brian; Haehn, Daniel; Lekschas, Fritz et al.
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. ed. / Maxime Descoteaux; Simon Duchesne; Alfred Franz; Pierre Jannin; D. Louis Collins; Lena Maier-Hein. Springer Verlag, 2017. p. 781-788 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10433 LNCS).

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

Matejek, B, Haehn, D, Lekschas, F, Mitzenmacher, M & Pfister, H 2017, Compresso: Efficient compression of segmentation data for connectomics. in M Descoteaux, S Duchesne, A Franz, P Jannin, DL Collins & L Maier-Hein (eds), Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10433 LNCS, Springer Verlag, pp. 781-788, 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City, Canada, 9/11/17. https://doi.org/10.1007/978-3-319-66182-7_89

Matejek B, Haehn D, Lekschas F, Mitzenmacher M, Pfister H. Compresso: Efficient compression of segmentation data for connectomics. In Descoteaux M, Duchesne S, Franz A, Jannin P, Collins DL, Maier-Hein L, editors, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag. 2017. p. 781-788. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-66182-7_89

Matejek, Brian ; Haehn, Daniel ; Lekschas, Fritz et al. / Compresso : Efficient compression of segmentation data for connectomics. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. editor / Maxime Descoteaux ; Simon Duchesne ; Alfred Franz ; Pierre Jannin ; D. Louis Collins ; Lena Maier-Hein. Springer Verlag, 2017. pp. 781-788 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a8bba17122a944e2a8137e231409449d,

title = "Compresso: Efficient compression of segmentation data for connectomics",

keywords = "Compression, Connectomics, Encoding, Segmentation",

author = "Brian Matejek and Daniel Haehn and Fritz Lekschas and Michael Mitzenmacher and Hanspeter Pfister",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 ; Conference date: 11-09-2017 Through 13-09-2017",

year = "2017",

doi = "10.1007/978-3-319-66182-7\_89",

language = "English",

isbn = "9783319661810",

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

publisher = "Springer Verlag",

pages = "781--788",

editor = "Maxime Descoteaux and Simon Duchesne and Alfred Franz and Pierre Jannin and Collins, \{D. Louis\} and Lena Maier-Hein",

booktitle = "Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings",

}

TY - GEN

T1 - Compresso

T2 - 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017

AU - Matejek, Brian

AU - Haehn, Daniel

AU - Lekschas, Fritz

AU - Mitzenmacher, Michael

AU - Pfister, Hanspeter

PY - 2017

Y1 - 2017

KW - Compression

KW - Connectomics

KW - Encoding

KW - Segmentation

UR - https://www.scopus.com/pages/publications/85029388093

UR - https://www.scopus.com/pages/publications/85029388093#tab=citedBy

U2 - 10.1007/978-3-319-66182-7_89

DO - 10.1007/978-3-319-66182-7_89

M3 - Conference contribution

AN - SCOPUS:85029388093

SN - 9783319661810

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

SP - 781

EP - 788

BT - Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings

A2 - Descoteaux, Maxime

A2 - Duchesne, Simon

A2 - Franz, Alfred

A2 - Jannin, Pierre

A2 - Collins, D. Louis

A2 - Maier-Hein, Lena

PB - Springer Verlag

Y2 - 11 September 2017 through 13 September 2017

ER -

Compresso: Efficient compression of segmentation data for connectomics

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this