{"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/unsupervised-learning-for-cell-level-visual","title":"Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks","arxiv_id":"1711.11317","date":"2017-11-30","proceeding":null,"authors":["Bo Hu","Ye Tang","Eric I-Chao Chang","Yubo Fan","Maode Lai","Yan Xu"],"abstract":"The visual attributes of cells, such as the nuclear morphology and chromatin\nopenness, are critical for histopathology image analysis. By learning\ncell-level visual representation, we can obtain a rich mix of features that are\nhighly reusable for various tasks, such as cell-level classification, nuclei\nsegmentation, and cell counting. In this paper, we propose a unified generative\nadversarial networks architecture with a new formulation of loss to perform\nrobust cell-level visual representation learning in an unsupervised setting.\nOur model is not only label-free and easily trained but also capable of\ncell-level unsupervised classification with interpretable visualization, which\nachieves promising results in the unsupervised classification of bone marrow\ncellular components. Based on the proposed cell-level visual representation\nlearning, we further develop a pipeline that exploits the varieties of cellular\nelements to perform histopathology image classification, the advantages of\nwhich are demonstrated on bone marrow datasets.","url_abs":"http://arxiv.org/abs/1711.11317v4","url_pdf":"http://arxiv.org/pdf/1711.11317v4.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":"unsupervised-learning-for-cell-level-visual","repo_url":"https://github.com/bohu615/nu_gan","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"unsupervised-learning-for-cell-level-visual","repo_url":"https://github.com/paulxiong/cervical","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"unsupervised-learning-for-cell-level-visual","repo_url":"https://github.com/pharikal/Breast-Cancer-Detection-Using-Deep-Learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"unsupervised-learning-for-cell-level-visual","repo_url":"https://github.com/sdasara95/Nuclei-Segmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"medical-image-analysis","task_name":"Medical Image Analysis"},{"task_slug":"representation-learning","task_name":"Representation Learning"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1711.11317","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1711.11317"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/paulxiong/cervical","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/sdasara95/Nuclei-Segmentation","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/bohu615/nu_gan","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/pharikal/Breast-Cancer-Detection-Using-Deep-Learning","reach":null}],"summary":{"ran_honours":2,"ran_draft_wrong":1},"by_repo_kind":{"official":{"samples":3,"ran":3,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":3,"samples":[{"code_sha256_prefix":"30214807699fc728","entry":"initialize_conv","repo":"bohu615/nu_gan","repo_kind":"official","path":"utils/gan_model.py","file_url":"https://github.com/bohu615/nu_gan/blob/HEAD/utils/gan_model.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"30214807699fc728"}},{"code_sha256_prefix":"f88dc29d741a5272","entry":"initialize_linear","repo":"bohu615/nu_gan","repo_kind":"official","path":"utils/gan_model.py","file_url":"https://github.com/bohu615/nu_gan/blob/HEAD/utils/gan_model.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"f88dc29d741a5272"}},{"code_sha256_prefix":"d8786b3afb7d32a4","entry":"uniform","repo":"bohu615/nu_gan","repo_kind":"official","path":"utils/gan_model.py","file_url":"https://github.com/bohu615/nu_gan/blob/HEAD/utils/gan_model.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"d8786b3afb7d32a4"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}