Fig. 3 | Scientific Data

Fig. 3

From: Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines

Fig. 3

MRIQC visual reports and feedback tool. The visual reports generated with MRIQC include the “Rate Image” widget. After screening of the particular dataset, the expert can assign one quality level (among “exclude”, “poor”, “acceptable”, and “excellent”) and also select from a list of MR artifacts typically found in MRI datasets. When the annotation is finished, the user can download the ratings to their local hard disk and submit them to the Web API.

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