Extended Data Fig. 1: DeepCell Label annotation workflow. | Nature Biotechnology

Extended Data Fig. 1: DeepCell Label annotation workflow.

From: Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Extended Data Fig. 1

a, How multichannel images are represented and edited in DeepCell Label. b, Scalable backend for DeepCell Label that dynamically adjusts required resources based on usage, allowing concurrent annotators to work in parallel. c, Human-in-the-loop workflow diagram. Images are uploaded to the server, run through Mesmer to make predictions, and cropped to facilitate error correction. These crops are sent to the crowd to be corrected, stitched back together, run through quality control to ensure accuracy, and used to train an updated model.

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