Fig. 6: Annotation of image regions of interest. | Nature Communications

Fig. 6: Annotation of image regions of interest.

From: Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology

Fig. 6

a Annotation of image regions of interest (ROIs) using DICOM Structured Reporting. b Screenshot of the Slim user interface displaying a ROI annotation drawn by a user on images of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) project. Note the user-provided qualitative evaluations and machine-generated size measurements of the ROI that are displayed in the side panel. c Screenshot of the Slim user interface displaying a popup window that appears when the user starts to draw regions of interests (ROIs) and that prompts the user to answer questions about the annotated ROIs. The annotation task here is the classification of image regions into different tumor categories, and the user is asked to specify the associated morphology and topography. Note the drop-down menu provides options from which the user can choose an answer without having to enter free text. d Section of the JavaScript configuration file that shows the underlying codes that determine both the questions that are posed to users and the list of permitted answers from which users can choose the appropriate one.

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