{"id":"https://openalex.org/W6907082689","doi":"https://doi.org/10.21227/9fsv-tm25","title":"UNITOPATHO","display_name":"UNITOPATHO","publication_year":2021,"publication_date":"2021-02-09","ids":{"openalex":"https://openalex.org/W6907082689","doi":"https://doi.org/10.21227/9fsv-tm25"},"language":"en","primary_location":{"id":"doi:10.21227/9fsv-tm25","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9fsv-tm25","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/9fsv-tm25","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bertero, Luca","orcid":"https://orcid.org/0000-0001-9887-7668"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bertero, Luca","raw_affiliation_strings":["Medical Sciences Department, University of Turin, 10126, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9887-7668","affiliations":[{"raw_affiliation_string":"Medical Sciences Department, University of Turin, 10126, Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Barbano, Carlo Alberto","orcid":"https://orcid.org/0000-0001-9512-0440"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Barbano, Carlo Alberto","raw_affiliation_strings":["Computer Science Department, University of Turin, 10149 Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9512-0440","affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Turin, 10149 Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Perlo, Daniele","orcid":"https://orcid.org/0000-0001-6879-8475"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Perlo, Daniele","raw_affiliation_strings":["Computer Science Department, University of Turin, 10149 Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6879-8475","affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Turin, 10149 Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tartaglione, Enzo","orcid":"https://orcid.org/0000-0003-4274-8298"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tartaglione, Enzo","raw_affiliation_strings":["Computer Science Department, University of Turin, 10149 Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4274-8298","affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Turin, 10149 Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cassoni, Paola","orcid":null},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cassoni, Paola","raw_affiliation_strings":["Medical Sciences Department, University of Turin, 10126, Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Sciences Department, University of Turin, 10126, Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":null,"display_name":"Grangetto, Marco","orcid":null},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Grangetto, Marco","raw_affiliation_strings":["Computer Science Department, University of Turin, 10149 Torino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Turin, 10149 Torino, Italy","institution_ids":["https://openalex.org/I55143463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55143463"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"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":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/magnification","display_name":"Magnification","score":0.5367000102996826},{"id":"https://openalex.org/keywords/dysplasia","display_name":"Dysplasia","score":0.5109999775886536},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.5081999897956848},{"id":"https://openalex.org/keywords/hyperplastic-polyp","display_name":"Hyperplastic Polyp","score":0.5078999996185303},{"id":"https://openalex.org/keywords/h-e-stain","display_name":"H&E stain","score":0.4788999855518341},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38359999656677246},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3801000118255615}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6028000116348267},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5157999992370605},{"id":"https://openalex.org/C2775894508","wikidata":"https://www.wikidata.org/wiki/Q1128996","display_name":"Dysplasia","level":2,"score":0.5109999775886536},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.5081999897956848},{"id":"https://openalex.org/C2908781503","wikidata":"https://www.wikidata.org/wiki/Q15992384","display_name":"Hyperplastic Polyp","level":5,"score":0.5078999996185303},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.4788999855518341},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3831000030040741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.36800000071525574},{"id":"https://openalex.org/C2910564736","wikidata":"https://www.wikidata.org/wiki/Q1209892","display_name":"Colorectal Polyp","level":5,"score":0.34869998693466187},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C2777428134","wikidata":"https://www.wikidata.org/wiki/Q272741","display_name":"Adenoma","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.29490000009536743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/9fsv-tm25","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9fsv-tm25","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/9fsv-tm25","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9fsv-tm25","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Histopathological":[0],"characterization":[1,27],"of":[2,17,33,59,69],"colorectal":[3,88],"polyps":[4,26,39,89],"allows":[5],"to":[6,36,112,123],"tailor":[7],"patients'":[8],"management":[9],"and":[10,41,72,91,116,161],"follow":[11],"up":[12],"with":[13],"the":[14,30,38,155],"ultimate":[15],"aim":[16],"avoiding":[18],"or":[19],"promptly":[20],"detecting":[21],"an":[22,66],"invasive":[23],"carcinoma.":[24],"Colorectal":[25],"relies":[28],"on":[29],"histological":[31],"analysis":[32],"tissue":[34],"samples":[35],"determine":[37],"malignancy":[40],"dysplasia":[42],"grade.":[43],"Deep":[44],"neural":[45,85],"networks":[46,86],"achieve":[47],"outstanding":[48],"accuracy":[49],"in":[50],"medical":[51],"patterns":[52],"recognition,":[53],"however":[54],"they":[55],"require":[56],"large":[57],"sets":[58],"annotated":[60,67,118],"training":[61,83],"images.":[62],"We":[63],"introduce":[64],"UniToPatho,":[65],"dataset":[68],"9536":[70],"hematoxylin":[71],"eosin":[73],"stained":[74],"patches":[75],"extracted":[76],"from":[77,154],"292":[78],"whole-slide":[79],"images,":[80],"meant":[81],"for":[82,87],"deep":[84],"classification":[90],"adenomas":[92],"grading.":[93],"The":[94],"slides":[95],"are":[96],"acquired":[97],"through":[98],"a":[99,113],"Hamamatsu":[100],"Nanozoomer":[101],"S210":[102],"scanner":[103],"at":[104],"20\u00d7":[105],"magnification":[106],"(0.4415":[107],"\u03bcm/px).":[108],"Each":[109],"slide":[110],"belongs":[111],"different":[114],"patient":[115],"is":[117],"by":[119],"expert":[120],"pathologists,":[121],"according":[122],"six":[124],"classes":[125],"as":[126],"follows:":[127],"NORM-":[128],"Normal":[129],"tissue;HP-":[130],"Hyperplastic":[131],"Polyp;TA.HG-":[132],"Tubular":[133,137],"Adenoma,":[134,138,142,146],"High-Grade":[135,143],"dysplasia;TA.LG-":[136],"Low-Grade":[139,147],"dysplasia;TVA.HG-":[140],"Tubulo-Villous":[141,145],"dysplasia;TVA.LG-":[144],"dysplasia.":[148],"This":[149],"project":[150],"has":[151],"received":[152],"funding":[153],"European":[156],"Union\u2019s":[157],"Horizon":[158],"2020":[159],"research":[160],"innovation":[162],"programme":[163],"under":[164],"grant":[165],"agreement":[166],"No":[167],"825111,":[168],"DeepHealth":[169],"Project.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
