{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/sliderunner-a-tool-for-massive-cell","title":"SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images","arxiv_id":"1802.02347","date":"2018-02-07","proceeding":null,"authors":["Marc Aubreville","Christof Bertram","Robert Klopfleisch","Andreas Maier"],"abstract":"Large-scale image data such as digital whole-slide histology images pose a\nchallenging task at annotation software solutions. Today, a number of good\nsolutions with varying scopes exist. For cell annotation, however, we find that\nmany do not match the prerequisites for fast annotations. Especially in the\nfield of mitosis detection, it is assumed that detection accuracy could\nsignificantly benefit from larger annotation databases that are currently\nhowever very troublesome to produce. Further, multiple independent (blind)\nexpert labels are a big asset for such databases, yet there is currently no\ntool for this kind of annotation available.\n  To ease this tedious process of expert annotation and grading, we introduce\nSlideRunner, an open source annotation and visualization tool for digital\nhistopathology, developed in close cooperation with two pathologists.\nSlideRunner is capable of setting annotations like object centers (for e.g.\ncells) as well as object boundaries (e.g. for tumor outlines). It provides\nsingle-click annotations as well as a blind mode for multi-annotations, where\nthe expert is directly shown the microscopy image containing the cells that he\nhas not yet rated.","url_abs":"http://arxiv.org/abs/1802.02347v1","url_pdf":"http://arxiv.org/pdf/1802.02347v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"sliderunner-a-tool-for-massive-cell","repo_url":"https://github.com/DeepPathology/SlideRunner","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"mitosis-detection","task_name":"Mitosis Detection"},{"task_slug":"whole-slide-images","task_name":"whole slide images"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}