Classification of hysteroscopical images using texture and vessel descriptors-Reference-Cited by-同舟云学术

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Classification of hysteroscopical images using texture and vessel descriptors

Published:2013-03-18 Issue:8 Volume:51 Page:859-867
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Vlachokosta Alexandra A.,Asvestas Pantelis A.,Gkrozou Fani,Lavasidis Lazaros,Matsopoulos George K.,Paschopoulos Minas

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-013-1058-1.pdf

Reference18 articles.

1. Allain M, Cloitre M (1991) Characterizing the lacunarity of random and deterministic fractal sets. Phys Rev A 44:3552–3558

2. Asvestas P, Matsopoulos GK, Nikita KS (1999) Estimation of fractal dimension of images using a fixed mass approach. Pattern Recogn Lett 20:347–354

3. Asvestas PA, Ventouras E, Karanasiou I, and Matsopoulos GK (2008) Classification of event-related potentials associated with response errors in actors. In: 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE). Athens, Greece

4. Berget I, Mevik BH, Naes T (2008) New modifications and applications of fuzzy C-means methodology. Comput Stat Data Anal 52:2403–2418

5. Gavião W, Scharcanski J (2007) Evaluating the mid-secretory endometrium appearance using hysteroscopic digital video summarization. Image Vis Comput 25:70–77

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