{"id":"https://openalex.org/W4405850238","doi":"https://doi.org/10.61822/amcs-2024-0040","title":"A custom deep learning architecture with image augmentation for intelligent gastrointestinal tract tissue classification","display_name":"A custom deep learning architecture with image augmentation for intelligent gastrointestinal tract tissue classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405850238","doi":"https://doi.org/10.61822/amcs-2024-0040"},"language":"en","primary_location":{"id":"doi:10.61822/amcs-2024-0040","is_oa":true,"landing_page_url":"https://doi.org/10.61822/amcs-2024-0040","pdf_url":"https://reference-global.com/2/v2/download/article/10.61822/amcs-2024-0040.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://reference-global.com/2/v2/download/article/10.61822/amcs-2024-0040.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074313380","display_name":"Micha\u0142 Wieczorek","orcid":"https://orcid.org/0000-0002-5319-3366"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Micha\u0142 Wieczorek","raw_affiliation_strings":["Faculty of Applied Mathematics Silesian University of Technology Kaszubska 23"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Mathematics Silesian University of Technology Kaszubska 23","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092159920","display_name":"NATALIA WOJTAS","orcid":null},"institutions":[{"id":"https://openalex.org/I158552681","display_name":"University of Life Sciences in Lublin","ror":"https://ror.org/03hq67y94","country_code":"PL","type":"education","lineage":["https://openalex.org/I158552681"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Natalia Wojtas","raw_affiliation_strings":["PhD student University of Life Sciences in Lublin Akademicka 12"],"affiliations":[{"raw_affiliation_string":"PhD student University of Life Sciences in Lublin Akademicka 12","institution_ids":["https://openalex.org/I158552681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115678239","display_name":"Roman Witu\u0142a","orcid":null},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Roman Witu\u0142a","raw_affiliation_strings":["Faculty of Applied Mathematics Silesian University of Technology Kaszubska 23"],"affiliations":[{"raw_affiliation_string":"Faculty of Applied Mathematics Silesian University of Technology Kaszubska 23","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113831795","display_name":"Aleksandra Krawczyk","orcid":null},"institutions":[{"id":"https://openalex.org/I158552681","display_name":"University of Life Sciences in Lublin","ror":"https://ror.org/03hq67y94","country_code":"PL","type":"education","lineage":["https://openalex.org/I158552681"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Aleksandra Krawczyk","raw_affiliation_strings":["Department of Animal Anatomy and Histology University of Life Sciences in Lublin Akademicka 12"],"affiliations":[{"raw_affiliation_string":"Department of Animal Anatomy and Histology University of Life Sciences in Lublin Akademicka 12","institution_ids":["https://openalex.org/I158552681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050281311","display_name":"Karol Rycerz","orcid":"https://orcid.org/0000-0002-1342-2558"},"institutions":[{"id":"https://openalex.org/I158552681","display_name":"University of Life Sciences in Lublin","ror":"https://ror.org/03hq67y94","country_code":"PL","type":"education","lineage":["https://openalex.org/I158552681"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Karol Rycerz","raw_affiliation_strings":["Department of Animal Anatomy and Histology University of Life Sciences in Lublin Akademicka 12"],"affiliations":[{"raw_affiliation_string":"Department of Animal Anatomy and Histology University of Life Sciences in Lublin Akademicka 12","institution_ids":["https://openalex.org/I158552681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074313380"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":0.3953,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68659913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"34","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9904000163078308,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9904000163078308,"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/T10862","display_name":"AI in cancer detection","score":0.9818000197410583,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9447000026702881,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gastrointestinal-tract","display_name":"Gastrointestinal tract","score":0.6977921724319458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434110999107361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5846368670463562},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5496826171875},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48389992117881775},{"id":"https://openalex.org/keywords/digestive-tract","display_name":"Digestive tract","score":0.4599115252494812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4232473373413086},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4113156795501709},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3818321228027344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35680508613586426},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2411421239376068},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10592964291572571},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06610262393951416}],"concepts":[{"id":"https://openalex.org/C2780512811","wikidata":"https://www.wikidata.org/wiki/Q11829360","display_name":"Gastrointestinal tract","level":2,"score":0.6977921724319458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434110999107361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5846368670463562},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5496826171875},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48389992117881775},{"id":"https://openalex.org/C2992581678","wikidata":"https://www.wikidata.org/wiki/Q11829360","display_name":"Digestive tract","level":2,"score":0.4599115252494812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4232473373413086},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4113156795501709},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3818321228027344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35680508613586426},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2411421239376068},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10592964291572571},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06610262393951416},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.61822/amcs-2024-0040","is_oa":true,"landing_page_url":"https://doi.org/10.61822/amcs-2024-0040","pdf_url":"https://reference-global.com/2/v2/download/article/10.61822/amcs-2024-0040.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:39d3ce0f9a2f46b499ab0d6757afb906","is_oa":true,"landing_page_url":"https://doaj.org/article/39d3ce0f9a2f46b499ab0d6757afb906","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Applied Mathematics and Computer Science, Vol 34, Iss 4, Pp 597-616 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.61822/amcs-2024-0040","is_oa":true,"landing_page_url":"https://doi.org/10.61822/amcs-2024-0040","pdf_url":"https://reference-global.com/2/v2/download/article/10.61822/amcs-2024-0040.pdf","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3329881053","display_name":null,"funder_award_id":"08/IDUB/2019/84","funder_id":"https://openalex.org/F4320324727","funder_display_name":"Silesian University of Technology"},{"id":"https://openalex.org/G917924281","display_name":null,"funder_award_id":"54/2020","funder_id":"https://openalex.org/F4320324727","funder_display_name":"Silesian University of Technology"}],"funders":[{"id":"https://openalex.org/F4320324727","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405850238.pdf","grobid_xml":"https://content.openalex.org/works/W4405850238.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2416383809","https://openalex.org/W1941104071","https://openalex.org/W2418311788","https://openalex.org/W2137167731","https://openalex.org/W2731899572","https://openalex.org/W2387364071","https://openalex.org/W4230611425","https://openalex.org/W2795259429"],"abstract_inverted_index":{"<abstract":[0],"xmlns=\"http://www.w3.org/1999/xhtml\">":[1],"The":[2],"origin":[3],"of":[4,9,39,64,79,113,118,131,149,176,179,189,228,253,259,311,315],"sampled":[5],"tissue":[6],"and":[7,134,211,303],"characteristics":[8,78],"healthy":[10,164,190,280],"organs":[11,112,178,210],"is":[12,25,36,70,87,203,221,247,298],"important":[13],"for":[14,92,163,267,287,293],"potential":[15],"abnormality":[16,271],"detection":[17,272],"in":[18,32,42,82,105,110,128,141,222,318],"veterinary":[19,319],"medicine.":[20,328],"Most":[21],"often":[22],"such":[23,126,142,260,300],"information":[24,277],"given":[26],"during":[27],"the":[28,43,59,74,80,114,146,154,184,245,254,257,279,304,312],"sampling":[29,185],"process,":[30,186],"but":[31],"some":[33,47,97,223,234],"cases":[34,224],"there":[35],"a":[37,83,93,129,132,160,180,195,214,229,261,264,288,301],"possibility":[38],"mislabeling,":[40],"especially":[41,144,232],"education":[44],"sector":[45],"where":[46],"microscopic":[48],"preparations":[49],"might":[50],"be":[51,139,285],"made":[52,248],"by":[53,76],"students":[54],"without":[55],"proper":[56],"knowledge":[57],"or":[58,108,244,295],"inspected":[60],"tissues":[61,98,191],"are":[62],"not":[63,88],"fully":[65],"known":[66],"origin.":[67],"Occasionally,":[68],"it":[69,274],"possible":[71,90],"to":[72,124,153,205],"determine":[73],"affiliation":[75],"searching":[77,292],"organ":[81,165,281],"sample;":[84],"however,":[85],"this":[86,316],"always":[89],"even":[91,109],"skilled":[94],"professional":[95],"as":[96,273,321],"vary":[99],"too":[100],"little":[101],"between":[102,209,241],"their":[103],"counterparts":[104],"different":[106,111,177],"species":[107,212],"same":[115],"species.":[116,182],"Because":[117],"this,":[119],"an":[120],"automatic":[121],"system":[122],"able":[123,204],"perform":[125],"classification":[127,166,246],"fraction":[130],"second":[133],"with":[135,213],"high":[136],"accuracy":[137,216],"can":[138,284],"helpful":[140],"cases,":[143],"considering":[145],"low":[147],"cost":[148],"adding":[150],"that":[151,202,227],"solution":[152],"current":[155],"workflow.":[156],"This":[157],"paper":[158],"presents":[159],"new":[161],"dataset":[162,262,302],"based":[167],"on":[168,249,278,326],"light":[169],"microscope":[170],"imagery":[171],"containing":[172,270],"25":[173],"abstract":[174],"classes":[175],"few":[181],"During":[183],"3680":[187],"images":[188],"were":[192],"collected.":[193],"Additionally,":[194,256],"custom":[196],"deep":[197,289],"learning":[198,290],"architecture":[199],"was":[200],"created":[201],"classify":[206],"those":[207],"samples":[208],"validation":[215],"reaching":[217],"98.34%.":[218],"Such":[219],"performance":[220],"higher":[225],"than":[226],"human":[230,327],"specialist,":[231],"when":[233],"examples":[235],"have":[236],"very":[237],"small":[238],"visual":[239],"differences":[240],"one":[242,310],"another":[243],"previously":[250],"non-determining":[251],"regions":[252],"organ.":[255],"collection":[258],"provides":[263,276],"great":[265],"opportunity":[266],"further":[268],"work":[269],"already":[275],"description,":[282],"which":[283],"used":[286],"model":[291],"illnesses":[294],"mutations.":[296],"What":[297],"more,":[299],"corresponding":[305],"artificial":[306],"neural":[307],"network":[308],"constitute":[309],"first":[313],"solutions":[314],"kind":[317],"medicine,":[320],"most":[322],"state-of-the-art":[323],"papers":[324],"focus":[325],"</abstract>":[329]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2024-12-28T00:00:00"}
