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This release will be all about Add-Ons and Pipelines. The idea is to integrate our deep-learning based segmentation networks for, e.g. - olfactory bulb ( https://github.com/Deep-MI/olf-bulb-segmentation ) - cerebellum (already available as module cerebnet in Release 2.1) - hypothalamus (not yet available) - improved corpus callosum / fornix segmentation into one framework under this FastSurfer project. For this we need to solve some challenges such as how to address required resolutions and modalities. Some of this is already done in the 2.0 release (restructuring of command line calls) to enable modules. Most likely some modules will already be added in some minor release version ,e.g. as early as 2.1. Furthermore, pipelines will permit us to parallelize blocks, provide entry points within the pipeline (e.g. for manual edits) and automatically complete missing components. For this we investigate frameworks, such as pydra, snakemake or nextflow. Finally we will add scripts for longitudinal surface processing.
No due date