TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

BACKGROUND AND OBJECTIVE: Processing of medical images such as MRI or CT presents different challenges compared to RGB images typically used in computer vision. These include a lack of labels for large datasets, high computational costs, and the need of metadata to describe the physical properties o...

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Detalles Bibliográficos
Autores principales: Pérez-García, Fernando, Sparks, Rachel, Ourselin, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Publishers 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542803/
https://www.ncbi.nlm.nih.gov/pubmed/34311413
http://dx.doi.org/10.1016/j.cmpb.2021.106236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542803/
https://www.ncbi.nlm.nih.gov/pubmed/34311413
http://dx.doi.org/10.1016/j.cmpb.2021.106236

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