| dc.contributor.author | Hankun, J. | en |
| dc.contributor.author | Tymkovych, M. | en |
| dc.contributor.author | Avrunin, O. | en |
| dc.contributor.author | Shevchenko, O. | en |
| dc.contributor.author | Moroz, I. | en |
| dc.contributor.author | Nanaka, O. | en |
| dc.contributor.author | Smailova, S. | en |
| dc.contributor.author | Uvaysova, A. | en |
| dc.contributor.author | Gromaszek, K. | en |
| dc.contributor.author | Нанака, О. М. | uk |
| dc.date.accessioned | 2023-01-27T09:04:51Z | |
| dc.date.available | 2023-01-27T09:04:51Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Hankun J.,Tymkovych M., Avrunin O., Shevchenko O., Moroz I., Nanaka O., Smailova S., Uvaysova A., Gromaszek K. The capabilities of modern rapid prototyping tools for developing training of computed tomography 3D models in phthisiology. Proc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 1247607 (12 December 2022). | en |
| dc.identifier.uri | http://ir.lib.vntu.edu.ua//handle/123456789/36285 | |
| dc.description.abstract | The development of such a model of the human lung allowed to master the technology of recreating anatomical structures based on personalized data of spiral computed tomography taking into account individual variability, which can be useful in determining the volume of pathologically altered areas and planning treatment. These approaches also make it possible to significantly improve the technology of training medical and bioengineering specialists. | en |
| dc.language.iso | en | en |
| dc.publisher | Society of Photo-Optical Instrumentation Engineers | en |
| dc.relation.ispartof | Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 1247607 (12 December 2022) | en |
| dc.subject | planning treatment | en |
| dc.subject | medical training | en |
| dc.subject | model | en |
| dc.subject | computed tomography | en |
| dc.title | The capabilities of modern rapid prototyping tools for developing training of computed tomography 3D models in phthisiology | en |
| dc.type | Article | |
| dc.identifier.doi | https://doi.org/10.1117/12.2659186 | |
