Artigo Acesso aberto Revisado por pares

fastMONAI: A low-code deep learning library for medical image analysis

2023; Elsevier BV; Volume: 18; Linguagem: Inglês

10.1016/j.simpa.2023.100583

ISSN

2665-9638

Autores

Satheshkumar Kaliyugarasan, Alexander Selvikvåg Lundervold,

Tópico(s)

COVID-19 diagnosis using AI

Resumo

Abstract We introduce fastMONAI, an open-source Python-based deep learning library for 3D medical imaging. Drawing upon the strengths of fastai, MONAI, and TorchIO, fastMONAI simplifies the use of advanced techniques for tasks like classification, regression, and segmentation. The library's design addresses domain-specific demands while promoting best practices, facilitating efficient model development. It offers newcomers an easier entry into the field while keeping the option to make advanced, lower-level customizations if needed. This paper describes the library's design, impact, limitations, and plans for future work.

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