{"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/microscopy-cell-segmentation-via-adversarial","title":"Microscopy Cell Segmentation via Adversarial Neural Networks","arxiv_id":"1709.05860","date":"2017-09-18","proceeding":null,"authors":["Assaf Arbelle","Tammy Riklin Raviv"],"abstract":"We present a novel method for cell segmentation in microscopy images which is\ninspired by the Generative Adversarial Neural Network (GAN) approach. Our\nframework is built on a pair of two competitive artificial neural networks,\nwith a unique architecture, termed Rib Cage, which are trained simultaneously\nand together define a min-max game resulting in an accurate segmentation of a\ngiven image. Our approach has two main strengths, similar to the GAN, the\nmethod does not require a formulation of a loss function for the optimization\nprocess. This allows training on a limited amount of annotated data in a weakly\nsupervised manner. Promising segmentation results on real fluorescent\nmicroscopy data are presented. The code is freely available at:\nhttps://github.com/arbellea/DeepCellSeg.git","url_abs":"http://arxiv.org/abs/1709.05860v4","url_pdf":"http://arxiv.org/pdf/1709.05860v4.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":"microscopy-cell-segmentation-via-adversarial","repo_url":"https://github.com/arbellea/DeepCellSeg","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"cell-segmentation","task_name":"Cell Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1709.05860","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}