{"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/neural-stain-style-transfer-learning-using","title":"Neural Stain-Style Transfer Learning using GAN for Histopathological Images","arxiv_id":"1710.08543","date":"2017-10-23","proceeding":null,"authors":["Hyungjoo Cho","Sungbin Lim","Gunho Choi","Hyun-seok Min"],"abstract":"Performance of data-driven network for tumor classification varies with\nstain-style of histopathological images. This article proposes the stain-style\ntransfer (SST) model based on conditional generative adversarial networks\n(GANs) which is to learn not only the certain color distribution but also the\ncorresponding histopathological pattern. Our model considers feature-preserving\nloss in addition to well-known GAN loss. Consequently our model does not only\ntransfers initial stain-styles to the desired one but also prevent the\ndegradation of tumor classifier on transferred images. The model is examined\nusing the CAMELYON16 dataset.","url_abs":"http://arxiv.org/abs/1710.08543v2","url_pdf":"http://arxiv.org/pdf/1710.08543v2.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":"neural-stain-style-transfer-learning-using","repo_url":"https://github.com/hanwen0529/DSCSI-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"style-transfer","task_name":"Style Transfer"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[{"method_slug":"convolution","method_name":"Convolution"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1710.08543","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}