Automatic Detection of Hemangioma through a Cascade of Self-organizing Map Clustering and Morphological Operators-Reference-Cited by-同舟云学术

Automatic Detection of Hemangioma through a Cascade of Self-organizing Map Clustering and Morphological Operators

Published:2016 Issue: Volume:90 Page:145-150
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Neghină Cătălina,Zamfir Marta,Ciuc Mihai,Sultana Alina

Publisher

Elsevier BV

Subject

General Engineering

Reference6 articles.

1. Mattassi R., Loose D.A., Vaghi M., “Hemangiomas and vascular malformations”, 2009, Springer-Verlag Italia, 9-96.

2. Automatic image based assessment of lesion development during hemangioma follow-up examinations;Zambanini;Artificial Intelligence in Medicine,2010

3. Sultana A., Oprisescu S., Ciuc M., “Automatic Evaluation of Hemangiomas for Follow-up Monitoring”, International Conference on e-Health and Bioengineering, (EHB 2015), Iasi, Romania, 2015.

4. Kohonen T., “Self-Organizing Maps”, Springer Series in Information Sciences, Berlin, Heidelberg, Springer, 2000, ISBN-10: 3540679219, ISBN-13: 978-3540679219, Edition: 3rd.

5. Vesanto J., Himberg J., Alhoniemi E. Parhankangas J., “Self-organizing map in Matlab: the SOM Toolbox”, Proceedings of the Matlab DSP Conference 1999, Espoo, Finland, pp. 35-40.

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