Information-theoretic active contour model for microscopy image segmentation using texture

Biga, V. and Coca, D. orcid.org/0000-0003-2878-2422 (2017) Information-theoretic active contour model for microscopy image segmentation using texture. In: Bracciali, A., Caravagna, G., Gilbert, D. and Tagliaferri, R., (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics. 13th International Meeting, CIBB 2016, 01-03 Sep 2016, Stirling, UK. Lecture Notes in Computer Science, 10477 . Springer, Cham , pp. 12-26. ISBN 9783319678337

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Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Bracciali, A.
  • Caravagna, G.
  • Gilbert, D.
  • Tagliaferri, R.
Copyright, Publisher and Additional Information:

© Springer International Publishing AG 2017. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.

Dates:
  • Published: 17 October 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 Dec 2017 13:58
Last Modified: 09 Dec 2017 12:59
Published Version: https://doi.org/10.1007/978-3-319-67834-4_2
Status: Published
Publisher: Springer, Cham
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: 10.1007/978-3-319-67834-4_2
Open Archives Initiative ID (OAI ID):

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