Sainz-DeMena, D.; García-Aznar, J.M.; Pérez, M.Á.; Borau, C.
Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences. Appl. Sci. 2022, 12, 11557.
https://doi.org/10.3390/app122211557
AMA Style
Sainz-DeMena D, García-Aznar JM, Pérez MÁ, Borau C.
Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences. Applied Sciences. 2022; 12(22):11557.
https://doi.org/10.3390/app122211557
Chicago/Turabian Style
Sainz-DeMena, Diego, José Manuel García-Aznar, María Ángeles Pérez, and Carlos Borau.
2022. "Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences" Applied Sciences 12, no. 22: 11557.
https://doi.org/10.3390/app122211557
APA Style
Sainz-DeMena, D., García-Aznar, J. M., Pérez, M. Á., & Borau, C.
(2022). Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences. Applied Sciences, 12(22), 11557.
https://doi.org/10.3390/app122211557