Fig. 1: Current amalgamation of the functionality of GaNDLF.
From: GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
a The entire functionality palette is focused to promote “zero/low-code” principles, and at the same time, each component in the major color groups (i.e., anonymization, harmonization, augmentation, network topologies, training, and post-processing) can be used independently to create customized solutions. The grey arrows represent the flow of operations for a user towards a “zero/low-code” principle for an entire computational training pipeline, starting with data I/O and ending with post-processing. b A high-level flowchart highlighting the “zero-code principle” entry point for the entire functionality palette of GaNDLF and their interactions throughout an AI clinical workflow, using the “zero/low-code” principle. A more comprehensive flowchart version is given in Fig. 4.
