Extended Data Fig. 1: Graphical user interface (GUI) developed to facilitate the visualisation of the extracted local maps from MICRA-Net. | Nature Machine Intelligence

Extended Data Fig. 1: Graphical user interface (GUI) developed to facilitate the visualisation of the extracted local maps from MICRA-Net.

From: Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations

Extended Data Fig. 1

Graphical user interface (GUI) developed to facilitate the visualisation of the extracted local maps from MICRA-Net. The detailed instructions to use the application can be found on the GitHub repository (https://github.com/FLClab/MICRA-Net). Briefly, one can load a trained MICRA-Net model and an image to predict the presence of a specific structure. The GUI shows the extracted local maps L1−8 to the user for each activated class of the selected image. The user can select the desired local maps which are combined into a detailed feature map that can be thresholded to generate a final segmentation mask.

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