Custom Python Applications in Neuroscience
summary
Claim: a tiny Python stack builds usable neuroscience tools. Code uses pyqtgraph to render interactive 3D views and turns a messy folder of DICOMs into organized datasets with pydicom, scripted de-identification and folder output. A one-page script plus docopt arguments produces daily email alerts for 30 remote processing machines. The demo shows a 3D viewer assembled in 24 lines of code, handling hundreds of patients and speeding visual QC.
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