Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features

Spyridon Bakas; Dimitrios Makris; Paul S. Sidhu; Katerina Chatzimichail

doi:10.1007/978-3-319-13692-9

Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features

Spyridon Bakas
, Dimitrios Makris
, Paul S. Sidhu
, Katerina Chatzimichail

Kingston University
King's College Hospital
National and Kapodistrian University of Athens

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

Original language	English
Title of host publication	Published in: Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications
Pages	13-22
DOIs	https://doi.org/10.1007/978-3-319-13692-9
Publication status	Published - Sept 2014

Publication series

Name	Lecture Notes in Computer Science
Number	8676

Bibliographical note

Note: Published in: Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications

Keywords

Computer science and informatics

Access to Document

10.1007/978-3-319-13692-9

http://dx.doi.org/10.1007/978-3-319-13692-9

Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features
Bakas, S., Makris, D., Sidhu, P. S. & Chatzimichail, K., Sept 2014.
Research output: Contribution to conference › Paper › peer-review

Cite this

Bakas, S., Makris, D., Sidhu, P. S., & Chatzimichail, K. (2014). Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features. In Published in: Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications (pp. 13-22). (Lecture Notes in Computer Science; No. 8676). https://doi.org/10.1007/978-3-319-13692-9

Bakas, Spyridon ; Makris, Dimitrios ; Sidhu, Paul S. et al. / Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features. Published in: Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications. 2014. pp. 13-22 (Lecture Notes in Computer Science; 8676).

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title = "Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features",

keywords = "Computer science and informatics",

author = "Spyridon Bakas and Dimitrios Makris and Sidhu, \{Paul S.\} and Katerina Chatzimichail",

note = "Note: Published in: Hiroyuki Yoshida, Janne J. N{\"a}ppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications",

year = "2014",

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doi = "10.1007/978-3-319-13692-9",

language = "English",

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Bakas, S, Makris, D, Sidhu, PS & Chatzimichail, K 2014, Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features. in Published in: Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications. Lecture Notes in Computer Science, no. 8676, pp. 13-22. https://doi.org/10.1007/978-3-319-13692-9

Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features. / Bakas, Spyridon; Makris, Dimitrios; Sidhu, Paul S. et al.
Published in: Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications. 2014. p. 13-22 (Lecture Notes in Computer Science; No. 8676).

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

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AU - Chatzimichail, Katerina

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Bakas S, Makris D, Sidhu PS, Chatzimichail K. Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features. In Published in: Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini (2014) Abdominal Imaging. Computational and Clinical Applications. 2014. p. 13-22. (Lecture Notes in Computer Science; 8676). doi: 10.1007/978-3-319-13692-9