![](/images/graphics-bg.png)
Recovering 3D Shape with Absolute Size from Endoscope Images Using RBF Neural Network
Joint Authors
Tsuda, Seiya
Iwahori, Yuji
Bhuyan, M. K.
Woodham, Robert J.
Kasugai, Kunio
Source
International Journal of Biomedical Imaging
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Medical diagnosis judges the status of polyp from the size and the 3D shape of the polyp from its medical endoscope image.
However the medical doctor judges the status empirically from the endoscope image and more accurate 3D shape recovery from its 2D image has been demanded to support this judgment.
As a method to recover 3D shape with high speed, VBW (Vogel-Breuß-Weickert) model is proposed to recover 3D shape under the condition of point light source illumination and perspective projection.
However, VBW model recovers the relative shape but there is a problem that the shape cannot be recovered with the exact size.
Here, shape modification is introduced to recover the exact shape with modification from that with VBW model.
RBF-NN is introduced for the mapping between input and output.
Input is given as the output of gradient parameters of VBW model for the generatedsphere.
Output is given as the true gradient parameters of true values of the generated sphere.
Learning mapping withNN can modify the gradient and the depth can be recovered according to the modified gradient parameters.
Performance ofthe proposed approach is confirmed via computer simulation and real experiment.
American Psychological Association (APA)
Tsuda, Seiya& Iwahori, Yuji& Bhuyan, M. K.& Woodham, Robert J.& Kasugai, Kunio. 2015. Recovering 3D Shape with Absolute Size from Endoscope Images Using RBF Neural Network. International Journal of Biomedical Imaging،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1065275
Modern Language Association (MLA)
Tsuda, Seiya…[et al.]. Recovering 3D Shape with Absolute Size from Endoscope Images Using RBF Neural Network. International Journal of Biomedical Imaging No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1065275
American Medical Association (AMA)
Tsuda, Seiya& Iwahori, Yuji& Bhuyan, M. K.& Woodham, Robert J.& Kasugai, Kunio. Recovering 3D Shape with Absolute Size from Endoscope Images Using RBF Neural Network. International Journal of Biomedical Imaging. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1065275
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1065275