{"id":"https://openalex.org/W3003891139","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206855","title":"Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending","display_name":"Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3003891139","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206855","mag":"3003891139"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2002.00072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081820935","display_name":"Steve Tsham Mpinda Ataky","orcid":"https://orcid.org/0000-0001-8168-7008"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]},{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR","CA"],"is_corresponding":true,"raw_author_name":"Steve Tsham Mpinda Ataky","raw_affiliation_strings":["\u00c9cole de Technologie Superi\u00e9ure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","[Federal University of Maranhao]"],"affiliations":[{"raw_affiliation_string":"\u00c9cole de Technologie Superi\u00e9ure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"[Federal University of Maranhao]","institution_ids":["https://openalex.org/I47327664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008120699","display_name":"Jonathan de Matos","orcid":"https://orcid.org/0000-0003-3344-4145"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I68207295","display_name":"Universidade Estadual de Ponta Grossa","ror":"https://ror.org/027s08w94","country_code":"BR","type":"education","lineage":["https://openalex.org/I68207295"]},{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["BR","CA"],"is_corresponding":false,"raw_author_name":"Jonathan de Matos","raw_affiliation_strings":["State University of Ponta Grossa (UEPG), Ponta Grossa, PR, Brazil","\u00c9cole de Technologie Superi\u00e9ure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","Ecole de technologie sup\u00e9rieure"],"affiliations":[{"raw_affiliation_string":"State University of Ponta Grossa (UEPG), Ponta Grossa, PR, Brazil","institution_ids":["https://openalex.org/I68207295"]},{"raw_affiliation_string":"\u00c9cole de Technologie Superi\u00e9ure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"Ecole de technologie sup\u00e9rieure","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017591391","display_name":"Alceu de Souza Britto","orcid":"https://orcid.org/0000-0002-3064-3563"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]},{"id":"https://openalex.org/I68207295","display_name":"Universidade Estadual de Ponta Grossa","ror":"https://ror.org/027s08w94","country_code":"BR","type":"education","lineage":["https://openalex.org/I68207295"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu de S. Britto","raw_affiliation_strings":["Pontifical Catholic University of Paran\u00e1, Curitiba, PR, Brazil","State University of Ponta Grossa (UEPG), Ponta Grossa, PR, Brazil","State University of Ponta Grossa"],"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Paran\u00e1, Curitiba, PR, Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"State University of Ponta Grossa (UEPG), Ponta Grossa, PR, Brazil","institution_ids":["https://openalex.org/I68207295"]},{"raw_affiliation_string":"State University of Ponta Grossa","institution_ids":["https://openalex.org/I68207295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038884704","display_name":"Luiz S. Oliveira","orcid":"https://orcid.org/0000-0002-0595-5370"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]},{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz E. S. Oliveira","raw_affiliation_strings":["Federal University of Paran\u00e1, Curitiba, PR, Brazil","Pontif\u00edcal Catholic University of Parana"],"affiliations":[{"raw_affiliation_string":"Federal University of Paran\u00e1, Curitiba, PR, Brazil","institution_ids":["https://openalex.org/I52418104"]},{"raw_affiliation_string":"Pontif\u00edcal Catholic University of Parana","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074262951","display_name":"Alessandro L. Koerich","orcid":"https://orcid.org/0000-0001-5879-7014"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]},{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["BR","CA"],"is_corresponding":false,"raw_author_name":"Alessandro L. Koerich","raw_affiliation_strings":["\u00c9cole de Technologie Superi\u00e9ure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","Federal Univ of Paran\u00e1"],"affiliations":[{"raw_affiliation_string":"\u00c9cole de Technologie Superi\u00e9ure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"Federal Univ of Paran\u00e1","institution_ids":["https://openalex.org/I52418104"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081820935"],"corresponding_institution_ids":["https://openalex.org/I159129438","https://openalex.org/I47327664","https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":1.2344,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83611395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9911999702453613,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9714999794960022,"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/pyramid","display_name":"Pyramid (geometry)","score":0.7746453285217285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6685631275177002},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5984959602355957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5825896263122559},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.575501561164856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5623795390129089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.54388028383255},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5345292091369629},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5293289422988892},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5066860318183899},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.49363458156585693},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4592345654964447},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.42182278633117676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37854525446891785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3699399530887604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33324211835861206}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7746453285217285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6685631275177002},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5984959602355957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5825896263122559},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.575501561164856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5623795390129089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.54388028383255},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5345292091369629},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5293289422988892},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5066860318183899},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.49363458156585693},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4592345654964447},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.42182278633117676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37854525446891785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3699399530887604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33324211835861206},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2002.00072","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.00072","pdf_url":"https://arxiv.org/pdf/2002.00072","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3003891139","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2002.00072","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2002.00072","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.00072","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2002.00072","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.00072","pdf_url":"https://arxiv.org/pdf/2002.00072","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3003891139.pdf","grobid_xml":"https://content.openalex.org/works/W3003891139.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W8437397","https://openalex.org/W1506762359","https://openalex.org/W1986744687","https://openalex.org/W2074163268","https://openalex.org/W2075554361","https://openalex.org/W2078268638","https://openalex.org/W2099471712","https://openalex.org/W2100711184","https://openalex.org/W2103504761","https://openalex.org/W2104933073","https://openalex.org/W2108598243","https://openalex.org/W2112328181","https://openalex.org/W2117190680","https://openalex.org/W2148143831","https://openalex.org/W2151103935","https://openalex.org/W2264887978","https://openalex.org/W2344480160","https://openalex.org/W2550490130","https://openalex.org/W2554892747","https://openalex.org/W2590417095","https://openalex.org/W2594258169","https://openalex.org/W2620578070","https://openalex.org/W2741609385","https://openalex.org/W2771292748","https://openalex.org/W2794616003","https://openalex.org/W2801370692","https://openalex.org/W2801540580","https://openalex.org/W2822578734","https://openalex.org/W2889646458","https://openalex.org/W2892120196","https://openalex.org/W2894084084","https://openalex.org/W2897069058","https://openalex.org/W2899429952","https://openalex.org/W2903119292","https://openalex.org/W2936849967","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963934397","https://openalex.org/W2966264296","https://openalex.org/W2977153525","https://openalex.org/W2978636994","https://openalex.org/W3099287508","https://openalex.org/W4243367342","https://openalex.org/W6600324250","https://openalex.org/W6675634716","https://openalex.org/W6754479841"],"related_works":["https://openalex.org/W3110132275","https://openalex.org/W3182164228","https://openalex.org/W3106050307","https://openalex.org/W3205160452","https://openalex.org/W3002653563","https://openalex.org/W1537533475","https://openalex.org/W2908300307","https://openalex.org/W2195977392","https://openalex.org/W2792207818","https://openalex.org/W3162192368","https://openalex.org/W2989659632","https://openalex.org/W2797790897","https://openalex.org/W2010491386","https://openalex.org/W3106397858","https://openalex.org/W2886966605","https://openalex.org/W2952804842","https://openalex.org/W2950762136","https://openalex.org/W2984146633","https://openalex.org/W2997498246","https://openalex.org/W3214442690"],"abstract_inverted_index":{"Data":[0],"imbalance":[1],"is":[2,16,49,97,182],"a":[3,14,27,45,108],"major":[4],"problem":[5,15],"that":[6,30,48,194],"affects":[7],"several":[8],"machine":[9],"learning":[10,199],"(ML)":[11],"algorithms.":[12],"Such":[13],"troublesome":[17],"because":[18],"most":[19,54],"of":[20,64,85,112,126,137,142,145,162,170,190,214],"the":[21,36,40,53,58,62,83,89,100,121,130,139,150,155,159,171,176,179,187,198,204,212,219],"ML":[22,41],"algorithms":[23],"attempt":[24],"to":[25,92,99],"optimize":[26],"loss":[28],"function":[29],"does":[31],"not":[32,113],"take":[33],"into":[34],"account":[35],"data":[37,72],"imbalance.":[38],"Accordingly,":[39],"algorithm":[42],"simply":[43],"generates":[44],"trivial":[46],"model":[47,90],"biased":[50],"toward":[51],"predicting":[52],"frequent":[55],"class":[56],"in":[57,82,167,218],"training":[59],"data.":[60],"In":[61,103],"case":[63],"histopathologic":[65],"images":[66,144],"(HIs),":[67],"both":[68],"low-level":[69],"and":[70,148,158,174],"high-level":[71],"augmentation":[73],"(DA)":[74],"techniques":[75,216],"still":[76],"present":[77],"performance":[78],"issues":[79],"when":[80],"applied":[81],"presence":[84],"inter-patient":[86,122],"variability;":[87],"whence":[88],"tends":[91],"learn":[93],"color":[94,195],"representations,":[95],"which":[96],"related":[98],"staining":[101],"process.":[102,200],"this":[104],"paper,":[105],"we":[106],"propose":[107],"novel":[109],"approach":[110,135],"capable":[111],"only":[114],"augmenting":[115],"HI":[116],"dataset":[117,206],"but":[118],"also":[119],"distributing":[120],"variability":[123],"by":[124],"means":[125],"image":[127,181],"blending":[128],"using":[129],"Gaussian-Laplacian":[131],"pyramid.":[132],"The":[133],"proposed":[134],"consists":[136],"finding":[138,149],"Gaussian":[140],"pyramids":[141,152],"two":[143,191],"different":[146,163],"patients":[147],"Laplacian":[151,172],"thereof.":[153],"Afterwards,":[154],"left-half":[156],"side":[157,161],"right-half":[160],"HIs":[164],"are":[165],"joined":[166],"each":[168],"level":[169],"pyramid,":[173],"from":[175],"joint":[177],"pyramids,":[178],"original":[180],"reconstructed.":[183],"This":[184],"composition":[185],"combines":[186],"stain":[188],"variation":[189],"patients,":[192],"avoiding":[193],"differences":[196],"mislead":[197],"Experimental":[201],"results":[202],"on":[203],"BreakHis":[205],"have":[207],"shown":[208],"promising":[209],"gains":[210],"vis-\u00e0-vis":[211],"majority":[213],"DA":[215],"presented":[217],"literature.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}