{"id":"https://openalex.org/W4287225497","doi":"https://doi.org/10.1007/978-3-031-12053-4_34","title":"A U-Net Based Progressive GAN for\u00a0Microscopic Image Augmentation","display_name":"A U-Net Based Progressive GAN for\u00a0Microscopic Image Augmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4287225497","doi":"https://doi.org/10.1007/978-3-031-12053-4_34"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-12053-4_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-12053-4_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038341473","display_name":"Qifan Zhou","orcid":"https://orcid.org/0000-0002-1902-9175"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qifan Zhou","raw_affiliation_strings":["The University of Manchester, Manchester, M13 9PL, UK"],"raw_orcid":"https://orcid.org/0000-0002-1902-9175","affiliations":[{"raw_affiliation_string":"The University of Manchester, Manchester, M13 9PL, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055149475","display_name":"Hujun Yin","orcid":"https://orcid.org/0000-0002-9198-5401"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hujun Yin","raw_affiliation_strings":["The University of Manchester, Manchester, M13 9PL, UK"],"raw_orcid":"https://orcid.org/0000-0002-9198-5401","affiliations":[{"raw_affiliation_string":"The University of Manchester, Manchester, M13 9PL, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5563,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7733233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"458","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8725405931472778},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6485304832458496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6226934790611267},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5836949348449707},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5209435224533081},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5096495151519775},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4923943281173706},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4724859595298767},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46009913086891174},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4412654936313629},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43015530705451965},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.41779589653015137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3783227205276489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37408503890037537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.336849182844162},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0680159330368042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8725405931472778},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6485304832458496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226934790611267},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5836949348449707},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5209435224533081},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5096495151519775},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4923943281173706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4724859595298767},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46009913086891174},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4412654936313629},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43015530705451965},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41779589653015137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3783227205276489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37408503890037537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.336849182844162},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0680159330368042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-031-12053-4_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-12053-4_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/dec2a61d-b20a-4192-9e3a-6beacd87d44c","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/dec2a61d-b20a-4192-9e3a-6beacd87d44c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, Q & Yin, H 2022, A U-Net Based Progressive GAN for Microscopic Image Augmentation. in 26th UK Conference on Medical Image Understanding and Analysis (MIUA 2022). Lecture Notes in Computer Science, Springer Nature.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/dec2a61d-b20a-4192-9e3a-6beacd87d44c","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/a-unet-based-progressive-gan-for-microscopic-image-augmentation(dec2a61d-b20a-4192-9e3a-6beacd87d44c).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, Q & Yin, H 2022, A U-Net Based Progressive GAN for Microscopic Image Augmentation. in 26th UK Conference on Medical Image Understanding and Analysis (MIUA 2022). Lecture Notes in Computer Science, Springer Nature.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1987869189","https://openalex.org/W2111406701","https://openalex.org/W2194775991","https://openalex.org/W2592929672","https://openalex.org/W2794022343","https://openalex.org/W2794825826","https://openalex.org/W2806857275","https://openalex.org/W2809598685","https://openalex.org/W2899434936","https://openalex.org/W2905810301","https://openalex.org/W2908201961","https://openalex.org/W2954996726","https://openalex.org/W2962770929","https://openalex.org/W2963073614","https://openalex.org/W2963981733","https://openalex.org/W2964250774","https://openalex.org/W2964317695","https://openalex.org/W2971013993","https://openalex.org/W3035574324","https://openalex.org/W3102785203","https://openalex.org/W3196890347","https://openalex.org/W6601897980","https://openalex.org/W6608993855","https://openalex.org/W6818723395"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4375867731","https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W4390718435","https://openalex.org/W338149487","https://openalex.org/W4390549206","https://openalex.org/W3000197790"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
