[Apologies for multiple postings]
ImageCLEFmedicalGANs (1st edition) Registration: https://www.imageclef.org/2023/medical/gans Run submission: May 10, 2023 Working notes submission: June 5, 2023 CLEF 2023 conference: September 18-21, Thessaloniki, Greece
*** CALL FOR PARTICIPATION *** The task is focused on examining the existing hypothesis that GANs are generating medical images that contain the "fingerprints" of the real images used for generative network training. If the hypothesis is correct, artificial biomedical images may be subject to the same sharing and usage limitations as real sensitive medical data. On the other hand, if the hypothesis is wrong, GANs may be potentially used to create rich datasets of biomedical images that are free of ethical and privacy regulations. The participants will test the hypothesis by solving one or several tasks related to the detection of relations between real and artificial biomedical image datasets.
*** TASK *** Given a set of real-world medical images comprising 2D axial CT image slices of the heart (including the middle sections and adjacent slices) of patients afflicted with lung #tuberculosis, the task challenges participants to develop #machinelearning solutions to automatically determine which real images were used in training the generator of realistic synthetic examples.
*** DATA SET *** The image datasets comprise 2D axial CT image slices of the heart, including the middle sections of the heart and adjacent slices. These images are obtained from patients afflicted with Lung Tuberculosis and are stored in the form of 8 bit/pixel PNG images with dimensions of 256x256 pixels. The development dataset comprises three distinct sets of images. One set contains images that were generated using a GAN, while the other two sets are comprised of real images. The first of these real image sets contains images that were used during the algorithm's training process. The second set consists of real images that were not used during the training process. Test dataset is a collection of two image sets. The first set contains 10,000 images that have been generated, while the second set is made up of a combination of 200 real images that were either used or unused during the training process.
*** IMPORTANT DATES *** - Run submission: May 10, 2023 - Working notes submission: June 5, 2023 - CLEF 2023 conference: September 18-21, Thessaloniki, Greece (https://clef2023.clef-initiative.eu/)
*** OVERALL COORDINATION *** Serge Kozlovski, Belarusian Academy of Sciences, Belarus Vassili Kovalev, Belarusian Academy of Sciences, Belarus Ihar Filipovich, Belarus State University, Belarus Alexandra Andrei, Politehnica University of Bucharest, Romania Ioan Coman, Politehnica University of Bucharest, Romania Bogdan Ionescu, Politehnica University of Bucharest, Romania Henning Müller, University of Applied Sciences Western Switzerland, Switzerland
*** ACKNOWLEDGEMENT *** Alexandra Andrei, Ioan Coman, Bogdan Ionescu, and Henning Müller contribution is supported under the H2020 AI4Media "A European Excellence Centre for Media, Society and Democracy" project, contract #951911 https://www.ai4media.eu/.
On behalf of the Organizers,
Bogdan Ionescu https://www.AIMultimediaLab.ro/