{"id":"https://openalex.org/W2025146408","doi":"https://doi.org/10.1109/isbi.2014.6868127","title":"Digital pathology: Multiple instance learning can detect Barrett's cancer","display_name":"Digital pathology: Multiple instance learning can detect Barrett's cancer","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2025146408","doi":"https://doi.org/10.1109/isbi.2014.6868127","mag":"2025146408"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6868127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","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/A5032539965","display_name":"Melih Kandemir","orcid":"https://orcid.org/0000-0001-6293-3656"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Melih Kandemir","raw_affiliation_strings":["University of Heidelberg, IWR, Germany","University of Heidelberg,HCI/IWR,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Heidelberg, IWR, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"University of Heidelberg,HCI/IWR,Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037438061","display_name":"Annette Feuchtinger","orcid":"https://orcid.org/0000-0003-4324-2547"},"institutions":[{"id":"https://openalex.org/I3018134672","display_name":"Helmholtz Munich","ror":"https://ror.org/00cfam450","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I3018134672"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Annette Feuchtinger","raw_affiliation_strings":["Institute of Pathology, Helmholtz Zentrum, M\u00fcnchen, Germany","Institute of Pathology, Helmholtz Zentrum Mu\u00a8nchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Pathology, Helmholtz Zentrum, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I3018134672"]},{"raw_affiliation_string":"Institute of Pathology, Helmholtz Zentrum Mu\u00a8nchen, Germany","institution_ids":["https://openalex.org/I3018134672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074211261","display_name":"Axel Walch","orcid":"https://orcid.org/0000-0001-5578-4023"},"institutions":[{"id":"https://openalex.org/I3018134672","display_name":"Helmholtz Munich","ror":"https://ror.org/00cfam450","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I3018134672"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel Walch","raw_affiliation_strings":["Institute of Pathology, Helmholtz Zentrum, M\u00fcnchen, Germany","Institute of Pathology, Helmholtz Zentrum Mu\u00a8nchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Pathology, Helmholtz Zentrum, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I3018134672"]},{"raw_affiliation_string":"Institute of Pathology, Helmholtz Zentrum Mu\u00a8nchen, Germany","institution_ids":["https://openalex.org/I3018134672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020048224","display_name":"Fred A. Hamprecht","orcid":"https://orcid.org/0000-0003-4148-5043"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fred A. Hamprecht","raw_affiliation_strings":["University of Heidelberg, IWR, Germany","University of Heidelberg,HCI/IWR,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Heidelberg, IWR, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"University of Heidelberg,HCI/IWR,Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.309,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.93850445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1348","last_page":"1351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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":0.9987000226974487,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/ground-truth","display_name":"Ground truth","score":0.6411329507827759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6294022798538208},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5957624316215515},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5673378705978394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5646588206291199},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4946691691875458},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4869481325149536},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.4763641357421875},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.439242959022522}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6411329507827759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6294022798538208},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5957624316215515},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5673378705978394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5646588206291199},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4946691691875458},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4869481325149536},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.4763641357421875},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.439242959022522},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2014.6868127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:push-zb.helmholtz-munich.de:44486","is_oa":false,"landing_page_url":"https://push-zb.helmholtz-munich.de/frontdoor.php?source_opus=44486","pdf_url":null,"source":{"id":"https://openalex.org/S7407055352","display_name":"PuSH - Publication Server of Helmholtz Zentrum M\u00fcnchen","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In:. IEEE, 2014. 1348-1351","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1561442812","https://openalex.org/W2011120797","https://openalex.org/W2039892899","https://openalex.org/W2045733317","https://openalex.org/W2103243046","https://openalex.org/W2108745803","https://openalex.org/W2133288557","https://openalex.org/W2146655125","https://openalex.org/W2154318594","https://openalex.org/W2160041854","https://openalex.org/W6676245398","https://openalex.org/W6683033130"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"We":[0,22,121],"study":[1,75,125],"diagnosis":[2],"of":[3,35,39,59],"Barrett's":[4],"cancer":[5],"from":[6],"hematoxylin":[7],"&":[8,11],"eosin":[9],"(H":[10],"E)":[12],"stained":[13],"histopathological":[14],"biopsy":[15],"images":[16],"using":[17,117],"multiple":[18],"instance":[19],"learning":[20],"(MIL).":[21],"partition":[23],"tissue":[24,53],"cores":[25],"into":[26],"rectangular":[27],"patches,":[28],"and":[29,41,67,114,134,137],"construct":[30],"a":[31,36,56,62,73,83,124],"feature":[32,127],"vector":[33],"consisting":[34],"large":[37],"set":[38],"cell-level":[40,138],"patch-level":[42,108,132],"features":[43,136,139],"for":[44],"each":[45,52,68],"patch.":[46],"In":[47,107],"MIL":[48,78,85],"terms,":[49],"we":[50,80,110],"treat":[51],"core":[54],"as":[55],"bag":[57],"(group":[58],"instances":[60],"with":[61,104],"single":[63],"group-level":[64],"ground-truth":[65],"label)":[66],"patch":[69],"an":[70],"instance.":[71],"After":[72],"benchmarking":[74],"on":[76,126],"several":[77],"approaches,":[79],"find":[81],"that":[82,131],"graph-based":[84],"algorithm,":[86],"mi-Graph":[87],"[1],":[88],"gives":[89],"the":[90],"best":[91],"performance":[92],"(87%":[93],"accuracy,":[94],"0.93":[95],"AUC),":[96],"due":[97],"to":[98,102,144],"its":[99],"inherent":[100],"suitability":[101],"bags":[103],"spatially-correlated":[105],"instances.":[106],"diagnosis,":[109],"reach":[111],"82%":[112],"accuracy":[113],"0.89":[115],"AUC":[116],"Bayesian":[118],"logistic":[119],"regression.":[120],"also":[122],"pursue":[123],"importance,":[128],"which":[129],"shows":[130],"color":[133],"texture":[135],"all":[140],"have":[141],"significant":[142],"contribution":[143],"prediction.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}