fastMONAI: A low-code deep learning library for medical image analysis
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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Medical Image AnalysisMedical Image ClassificationMedical Image SegmentationregressionMethods 이 논문이 사용한 방법론
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