dc.creatorTincopa, Jean Pierre
dc.creatorSalazar-Gamarra, Rodrigo
dc.creatorLopez-Hinostroza, Madaleine
dc.creatorMoya-Salazar, Belén
dc.creatorContreras-Pulache, Hans
dc.creatorMoya-Salazar, Belén
dc.date.accessioned2023-02-15T20:08:43Z
dc.date.accessioned2023-06-02T20:41:48Z
dc.date.available2023-02-15T20:08:43Z
dc.date.available2023-06-02T20:41:48Z
dc.date.created2023-02-15T20:08:43Z
dc.date.issued2022-11-16
dc.identifierhttps://hdl.handle.net/20.500.13053/7798
dc.identifierhttps://doi.org/10.3390/asi5060116
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6628928
dc.description.abstract"The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the calculation of solitary fibrous tumor volumes. Knowing the size, shape, and volume of mesothelioma is decisive for clinical decisionmaking by health personnel when performing surgery; the currently used standard procedure is manual segmentation through magnetic resonance imaging (MRI). This process tends to take a long time to complete. On the other hand, automatic segmentation software is much faster and more user-friendly, so looking for software that gives us greater accuracy when doing this task is very important. This work obtained magnetic resonance imaging (MRI) of a mesothelioma patient, and the images were segmented in the 3 different programs to evaluate the concordance between the software later."
dc.languageeng
dc.publisherMDPI
dc.publisherCH
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject"segmentation; 3d print; 3D slicer; fibrous tumor; software "
dc.titleComparison of Models for 3D Printing of Solitary Fibrous Tumor Obtained Using Open-Source Segmentation Software
dc.typeinfo:eu-repo/semantics/article


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