{"id":"https://openalex.org/W2920844180","doi":"https://doi.org/10.1117/12.2510967","title":"Generation of retinal OCT images with diseases based on cGAN","display_name":"Generation of retinal OCT images with diseases based on cGAN","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2920844180","doi":"https://doi.org/10.1117/12.2510967","mag":"2920844180"},"language":"en","primary_location":{"id":"doi:10.1117/12.2510967","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2510967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040105618","display_name":"Xuewei Zha","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewei Zha","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048091475","display_name":"Fei Shi","orcid":"https://orcid.org/0000-0002-8878-6655"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shi","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047676434","display_name":"Yuhui Ma","orcid":"https://orcid.org/0000-0001-5660-5218"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Ma","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058024483","display_name":"Weifang Zhu","orcid":"https://orcid.org/0000-0001-9540-4101"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifang Zhu","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079807652","display_name":"Xinjian Chen","orcid":"https://orcid.org/0000-0002-0871-293X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Chen","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.6891493797302246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47843483090400696},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.3290998339653015},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.3222445249557495},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22579166293144226}],"concepts":[{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.6891493797302246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47843483090400696},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.3290998339653015},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.3222445249557495},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22579166293144226}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2510967","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2510967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2061240737","https://openalex.org/W2097117768","https://openalex.org/W2339754110","https://openalex.org/W2894857791","https://openalex.org/W2949864127","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W4320013936","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6674914833","https://openalex.org/W6703724764","https://openalex.org/W6704369950","https://openalex.org/W6729966448"],"related_works":["https://openalex.org/W806426592","https://openalex.org/W1976080914","https://openalex.org/W2581058164","https://openalex.org/W2014650635","https://openalex.org/W3200148356","https://openalex.org/W2283348679","https://openalex.org/W2033594118","https://openalex.org/W1603532251","https://openalex.org/W2154750548","https://openalex.org/W3092320695"],"abstract_inverted_index":{"Data":[0],"imbalance":[1],"is":[2,16,88,128],"a":[3],"classic":[4],"problem":[5],"in":[6,54],"image":[7,76],"classification,":[8],"especially":[9],"for":[10,26,61,74],"medical":[11,62],"images":[12,38,44,56,63,108,113],"where":[13],"normal":[14,42],"data":[15,20],"much":[17],"more":[18],"than":[19],"with":[21,39],"diseases.":[22],"To":[23],"make":[24],"up":[25],"the":[27,59,92,96,115,119,133,138],"absence":[28],"of":[29,105,118],"disease":[30,107],"images,":[31],"methods":[32],"which":[33],"can":[34,94],"generate":[35],"retinal":[36,43,106],"OCT":[37,75],"diseases":[40],"from":[41],"are":[45,64,109,123],"investigated.":[46],"Conditional":[47],"GANs":[48],"(cGAN)":[49],"have":[50],"shown":[51],"significant":[52],"success":[53],"natural":[55,116],"generation,":[57],"but":[58],"applications":[60],"limited.":[65],"In":[66,101],"this":[67],"work,":[68],"we":[69],"propose":[70],"an":[71],"end-to-end":[72],"framework":[73],"generation":[77],"based":[78],"on":[79],"cGAN.":[80],"The":[81,111,126],"new":[82],"structural":[83],"similarity":[84],"index":[85],"(SSIM)":[86],"loss":[87],"introduced":[89],"so":[90],"that":[91],"model":[93],"take":[95],"structure-related":[97],"details":[98],"into":[99],"consideration.":[100],"experiments,":[102],"three":[103],"kinds":[104],"generated.":[110],"generated":[112,139],"assume":[114],"structure":[117],"retina":[120],"and":[121],"thus":[122],"visually":[124],"appealing.":[125],"method":[127],"further":[129],"validated":[130],"by":[131,137],"testing":[132],"classification":[134],"performance":[135],"trained":[136],"images.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}