{"id":"https://openalex.org/W4362693635","doi":"https://doi.org/10.1117/12.2653715","title":"Conditional generative adversarial network (cGAN) for synthesis of digital histologic images from hyperspectral images","display_name":"Conditional generative adversarial network (cGAN) for synthesis of digital histologic images from hyperspectral images","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4362693635","doi":"https://doi.org/10.1117/12.2653715","pmid":"https://pubmed.ncbi.nlm.nih.gov/38495871"},"language":"en","primary_location":{"id":"doi:10.1117/12.2653715","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2653715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational Pathology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10942653/pdf/nihms-1973768.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100401362","display_name":"Ling Ma","orcid":"https://orcid.org/0000-0001-8760-3581"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ling Ma","raw_affiliation_strings":["Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX","Department of Bioengineering, University of Texas at Dallas, Richardson, TX"],"affiliations":[{"raw_affiliation_string":"Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX","institution_ids":[]},{"raw_affiliation_string":"Department of Bioengineering, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028916256","display_name":"Jeremy C. Sherey","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy C. Sherey","raw_affiliation_strings":["Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX","Department of Bioengineering, University of Texas at Dallas, Richardson, TX","The Univ. of Texas at Dallas (United States)"],"affiliations":[{"raw_affiliation_string":"Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX","institution_ids":[]},{"raw_affiliation_string":"Department of Bioengineering, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"The Univ. of Texas at Dallas (United States)","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038324249","display_name":"Doreen N. Palsgrove","orcid":"https://orcid.org/0000-0001-9640-2482"},"institutions":[{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"education","lineage":["https://openalex.org/I867280407"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Doreen Palsgrove","raw_affiliation_strings":["Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX","The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX","institution_ids":["https://openalex.org/I867280407"]},{"raw_affiliation_string":"The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)","institution_ids":["https://openalex.org/I867280407"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083707303","display_name":"Baowei Fei","orcid":"https://orcid.org/0000-0002-9123-9484"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]},{"id":"https://openalex.org/I867280407","display_name":"The University of Texas Southwestern Medical Center","ror":"https://ror.org/05byvp690","country_code":"US","type":"education","lineage":["https://openalex.org/I867280407"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baowei Fei","raw_affiliation_strings":["Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX","Department of Bioengineering, University of Texas at Dallas, Richardson, TX","Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX","The Univ. of Texas at Dallas (United States)","The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)"],"affiliations":[{"raw_affiliation_string":"Center for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX","institution_ids":[]},{"raw_affiliation_string":"Department of Bioengineering, University of Texas at Dallas, Richardson, TX","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX","institution_ids":["https://openalex.org/I867280407"]},{"raw_affiliation_string":"The Univ. of Texas at Dallas (United States)","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"The Univ. of Texas Southwestern Medical Ctr. at Dallas (United States)","institution_ids":["https://openalex.org/I867280407"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100401362"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.5139,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69816859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"12471","issue":null,"first_page":"52","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.996399998664856,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8206640481948853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.814079761505127},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7636837959289551},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7240419387817383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650274932384491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5952354669570923},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5500206351280212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5414251685142517},{"id":"https://openalex.org/keywords/magnification","display_name":"Magnification","score":0.5079334378242493},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.49440550804138184},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30292752385139465}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8206640481948853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.814079761505127},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7636837959289551},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7240419387817383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650274932384491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5952354669570923},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5500206351280212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5414251685142517},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.5079334378242493},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.49440550804138184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30292752385139465}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2653715","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2653715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Digital and Computational Pathology","raw_type":"proceedings-article"},{"id":"pmid:38495871","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38495871","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of SPIE--the International Society for Optical Engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10942653","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10942653","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10942653/pdf/nihms-1973768.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10942653","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10942653","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10942653/pdf/nihms-1973768.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc SPIE Int Soc Opt Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2428140889","display_name":null,"funder_award_id":"CPRIT","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2436717807","display_name":null,"funder_award_id":"CA156775","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3056785963","display_name":null,"funder_award_id":"R01CA156775","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5341426523","display_name":null,"funder_award_id":"RP190588","funder_id":"https://openalex.org/F4320308129","funder_display_name":"Cancer Prevention and Research Institute of Texas"},{"id":"https://openalex.org/G5556146753","display_name":null,"funder_award_id":"R01HL140325","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5556889370","display_name":null,"funder_award_id":"20425","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G572080454","display_name":null,"funder_award_id":"R21CA231911","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6142285465","display_name":null,"funder_award_id":"R01CA204254","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7684308117","display_name":null,"funder_award_id":"HL140325","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8315946133","display_name":null,"funder_award_id":"CA204254","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320308129","display_name":"Cancer Prevention and Research Institute of Texas","ror":"https://ror.org/0003xa228"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4362693635.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2784437755","https://openalex.org/W3000734921","https://openalex.org/W3001491360","https://openalex.org/W3011221107","https://openalex.org/W3011934240","https://openalex.org/W3012525873","https://openalex.org/W3013080024","https://openalex.org/W3021686598","https://openalex.org/W3130214264","https://openalex.org/W3133396482","https://openalex.org/W4226002157","https://openalex.org/W4281296527"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W4256609757","https://openalex.org/W2152595177","https://openalex.org/W2060875994","https://openalex.org/W2041117173","https://openalex.org/W2901421464","https://openalex.org/W2932657337","https://openalex.org/W3102673927","https://openalex.org/W2327954668"],"abstract_inverted_index":{"Hyperspectral":[0,56],"imaging":[1,67,179,213],"(HSI)":[2],"has":[3],"been":[4],"demonstrated":[5,200],"in":[6],"various":[7,72],"digital":[8,82],"pathology":[9],"applications.":[10],"However,":[11],"the":[12,26,91,96,114,135,153,166,174,186,193],"intrinsic":[13],"high":[14,187],"dimensionality":[15],"of":[16,30,42,113,147,177,190,196],"hyperspectral":[17,40,93],"images":[18,41,52,57,85,94,112],"makes":[19],"it":[20],"difficult":[21],"for":[22,53,221],"pathologists":[23,183],"to":[24,34,38,48,74,78,90,107,127,185,209],"visualize":[25],"information.":[27],"The":[28,118,145,169],"aim":[29],"this":[31],"study":[32,199],"is":[33],"develop":[35],"a":[36,142,157,205,218],"method":[37,171],"transform":[39],"hemoxylin":[43],"&":[44],"eosin":[45],"(H&E)-stained":[46],"slides":[47],"natural-color":[49],"RGB":[50,84,111],"histologic":[51,83],"easy":[54],"visualization.":[55],"were":[58,86],"obtained":[59],"at":[60],"40\u00d7":[61],"magnification":[62],"with":[63,141],"an":[64],"automated":[65],"microscopic":[66],"system":[68],"and":[69,88,125,137,149,163,192,214],"downsampled":[70],"by":[71],"factors":[73],"generate":[75],"data":[76],"equivalent":[77],"different":[79],"magnifications.":[80],"High-resolution":[81],"cropped":[87],"registered":[89],"corresponding":[92],"as":[95],"ground":[97],"truth.":[98],"A":[99],"conditional":[100],"generative":[101],"adversarial":[102],"network":[103],"(cGAN)":[104],"was":[105,132],"trained":[106],"output":[108],"natural":[109],"color":[110,124],"histological":[115],"tissue":[116,151],"samples.":[117],"generated":[119],"synthetic":[120,138],"RGBs":[121,155],"have":[122],"similar":[123],"sharpness":[126],"real":[128,136,167],"RGBs.":[129,168,197],"Image":[130],"classification":[131,146],"implemented":[133],"using":[134,152],"RGBs,":[139],"respectively,":[140],"pretrained":[143],"network.":[144],"tumor":[148],"normal":[150],"HSI-synthesized":[154],"yielded":[156],"comparable":[158],"but":[159],"slightly":[160],"higher":[161],"accuracy":[162],"AUC":[164],"than":[165],"proposed":[170],"can":[172],"reduce":[173],"acquisition":[175],"time":[176],"two":[178],"modalities":[180],"while":[181],"giving":[182],"access":[184],"information":[188],"density":[189],"HSI":[191,202,217],"quality":[194],"visualization":[195],"This":[198],"that":[201],"may":[203],"provide":[204],"potentially":[206],"better":[207],"alternative":[208],"current":[210],"RGB-based":[211],"pathologic":[212],"thus":[215],"make":[216],"viable":[219],"tool":[220],"histopathological":[222],"diagnosis.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
