{"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/adversarial-augmentation-for-enhancing","title":"Adversarial Augmentation for Enhancing Classification of Mammography Images","arxiv_id":"1902.07762","date":"2019-02-20","proceeding":null,"authors":["Lukas Jendele","Ondrej Skopek","Anton S. Becker","Ender Konukoglu"],"abstract":"Supervised deep learning relies on the assumption that enough training data\nis available, which presents a problem for its application to several fields,\nlike medical imaging. On the example of a binary image classification task\n(breast cancer recognition), we show that pretraining a generative model for\nmeaningful image augmentation helps enhance the performance of the resulting\nclassifier. By augmenting the data, performance on downstream classification\ntasks could be improved even with a relatively small training set. We show that\nthis \"adversarial augmentation\" yields promising results compared to classical\nimage augmentation on the example of breast cancer classification.","url_abs":"http://arxiv.org/abs/1902.07762v1","url_pdf":"http://arxiv.org/pdf/1902.07762v1.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":"adversarial-augmentation-for-enhancing","repo_url":"https://github.com/BreastGAN/augmentation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"cancer-classification","task_name":"Cancer Classification"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-augmentation","task_name":"Image Augmentation"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}