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Contains code for training a model that extracts anamnesis and question parts of clinical orders. No data included, only scripts

contains code for the huggingface transformer based service prediction for dzptm

Pixel classifier based on convolutional neural nets for segmenting historic prints. Automatically mirrored to https://github.com/ocr-d-modul-2-segmentierung/page-segmentation Please use the issue tracker on Github.