Im2mesh: A Python Library to Reconstruct 3D Meshes from Scattered Data and 2D Segmentations, Application to Patient-Specific Neuroblastoma Tumour Image Sequences

The future of personalised medicine lies in the development of increasingly sophisticated digital twins, where the patient-specific data is fed into predictive computational models that support the decisions of clinicians on the best therapies or course actions to treat the patient’s afflictions. Th...

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Veröffentlicht in:	Applied sciences Jg. 12; H. 22; S. 11557
Hauptverfasser:	Sainz-DeMena, Diego, García-Aznar, José Manuel, Pérez, María Ángeles, Borau, Carlos
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2022
Schlagworte:	Algorithms Artificial intelligence Cancer Decision making Decision support systems Geometry Growth models Magnetic resonance imaging medical image Medical imaging mesh generation Neuroblastoma patient-specific computational modelling Precision medicine python library slice interpolation Software Tomography
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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