ECCV 2020 Daily - Thursday

The 6th edition of the BioImage Computing workshop (BIC)was heldvirtually last Sunday, August 23rd. Although relatively young, BIC has already become a high-quality, well-attended workshop bringing together researchers working in the intersection of computer vision and the life sciences. This year, BIC was organized by Jan Funke (HHMI Janelia, USA), Dagmar Kainmueller (BIH and MDC Berlin, Germany), Florian Jug (CSBD and MPI-CBG, 2 Workshop 20 Dresden, Germany) Anna Kreshuk, (EMBL Heidelberg, Germany), Peter Bajcsy, (NIST, USA)MartinWeigert, (EPFL, Switzerland), Patrick Bouthemy, (INRIA, France), and Erik Meijering, (University New South Wales, Australia). Following an open review process through OpenReview , the organizers selected 17 submissions for presentation at the workshop. Those submissions are representative of the wide range of exciting computer vision challenges we encounter in the life sciences , e.g., computational imaging, denoising of microscopy images, bioimage segmentation and classification, multi-modal registration, and tracking of cells and animals in videos. In addition to those submissions, the BIC workshop featured six invited speakers this year. The following highlights some of our best picks of BIC 2020 (all images belong to the authors of the papers). BioImage Computing is as diverse as the questions that experimentalists like to answer. Consequently, machine learning methods rarely transfer between domains and human generated ground-truth is needed. This is a time-consuming and limiting step in many experimental labs, and the question how to minimize manual efforts without sacrificing accuracy is of paramount importance. This BIC sawtwo submissions that take this question head-on: DAILY T h u r s d a y B i o I m a g e C o m p u t i n g by Jan Funke