[IJHCS] Assistive heatmaps prototype for promoting eXplainable AI (XAI) in the medical workflow for the breast cancer diagnosis. The work was published in the International Journal of Human-Computer Studies.
For this issue, we aim at developing the overlay functionality of the medical images. We will need to develop several routines to read the images directly from the WADO (Orthanc) server and the ".png" images, and from this, overlay the several ".png" images (i.e., heatmaps) within the image on the WADO (Orthanc) server.
By providing an API that, given a Patient ID (e.g., 12345-12345-12345/file which are .dcm format image) and a folder with two PNG files. The two PNG files are, for instance, 12345-12345-12345_cloud.png and 12345-12345-12345_full.png file names. In the end, it is just needed to overlay the two PNG images with the WADO (Orthanc) server image.
For this issue, we aim at developing the overlay functionality of the medical images. We will need to develop several routines to read the images directly from the WADO (Orthanc) server and the ".png" images, and from this, overlay the several ".png" images (i.e., heatmaps) within the image on the WADO (Orthanc) server.
By providing an API that, given a Patient ID (e.g.,
12345-12345-12345/filewhich are.dcmformat image) and a folder with two PNG files. The two PNG files are, for instance,12345-12345-12345_cloud.pngand12345-12345-12345_full.pngfile names. In the end, it is just needed to overlay the two PNG images with the WADO (Orthanc) server image.