{"id":"https://openalex.org/W2085352718","doi":"https://doi.org/10.1109/isbi.2013.6556677","title":"Graph walks for classification of histopathological images","display_name":"Graph walks for classification of histopathological images","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2085352718","doi":"https://doi.org/10.1109/isbi.2013.6556677","mag":"2085352718"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"},"type":"article","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/A5002362328","display_name":"G\u00fclden Olgun","orcid":"https://orcid.org/0000-0002-4467-1610"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gulden Olgun","raw_affiliation_strings":["Department of Computer Engineering, Bilkent University, Ankara, Turkey","Department of Computer Engineering Bilkent University  Ankara Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]},{"raw_affiliation_string":"Department of Computer Engineering Bilkent University  Ankara Turkey","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052857662","display_name":"Cenk S\u00f6kmens\u00fcer","orcid":"https://orcid.org/0000-0001-7637-8745"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cenk Sokmensuer","raw_affiliation_strings":["Department of Pathology, Hacettepe University Medical School, Ankara, Turkey","Medical School, Dept. of Pathology, Hacettepe Univ. Med. Sch., Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, Hacettepe University Medical School, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]},{"raw_affiliation_string":"Medical School, Dept. of Pathology, Hacettepe Univ. Med. Sch., Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043106100","display_name":"\u00c7i\u011fdem G\u00fcnd\u00fcz-Demir","orcid":"https://orcid.org/0000-0003-0724-1942"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cigdem Gunduz-Demir","raw_affiliation_strings":["Department of Computer Engineering, Bilkent University, Ankara, Turkey","Department of Computer Engineering Bilkent University  Ankara Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]},{"raw_affiliation_string":"Department of Computer Engineering Bilkent University  Ankara Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9736,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82864182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"1126","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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":0.996999979019165,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9952999949455261,"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/graph","display_name":"Graph","score":0.6590593457221985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6128764152526855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919342637062073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5658585429191589},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.495947927236557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.440904825925827},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4200073182582855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2935696244239807},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20277893543243408},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15798419713974}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6590593457221985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6128764152526855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919342637062073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5658585429191589},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.495947927236557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.440904825925827},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4200073182582855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2935696244239807},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20277893543243408},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15798419713974}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2013.6556677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/27983","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/27983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1597336200","https://openalex.org/W2030041075","https://openalex.org/W2077696460","https://openalex.org/W2080743883","https://openalex.org/W2084185625","https://openalex.org/W2134647348","https://openalex.org/W2143093135","https://openalex.org/W2146655125","https://openalex.org/W2150430828","https://openalex.org/W2156398782","https://openalex.org/W2159551006","https://openalex.org/W2160633263","https://openalex.org/W6635816984"],"related_works":["https://openalex.org/W1921169094","https://openalex.org/W366410996","https://openalex.org/W4239902399","https://openalex.org/W2002243093","https://openalex.org/W2146076056","https://openalex.org/W2971191913","https://openalex.org/W2144092555","https://openalex.org/W2731939565","https://openalex.org/W1528058524","https://openalex.org/W2800590509"],"abstract_inverted_index":{"This":[0],"paper":[1],"reports":[2],"a":[3,26,31,38],"new":[4],"structural":[5,22,89],"approach":[6,90],"for":[7,29],"automated":[8],"classification":[9],"of":[10,40,63,67],"histopathological":[11],"tissue":[12,32,83,98],"images.":[13],"It":[14],"has":[15],"two":[16],"main":[17],"contributions:":[18],"First,":[19],"unlike":[20],"previous":[21],"approaches":[23],"that":[24,86],"use":[25,46,74],"single":[27],"graph":[28,43,71],"representing":[30,50],"image,":[33],"it":[34,54],"proposes":[35,55],"to":[36,56,93],"obtain":[37,94],"set":[39],"subgraphs":[41,48,58],"through":[42],"walking":[44],"and":[45,73],"these":[47,75],"in":[49,77,97],"the":[51,87],"image.":[52],"Second,":[53],"characterize":[57],"by":[59],"directly":[60],"using":[61],"distribution":[62],"their":[64],"edges,":[65],"instead":[66],"employing":[68],"conventional":[69],"global":[70],"features,":[72],"characterizations":[76],"classification.":[78,100],"Our":[79],"experiments":[80],"on":[81],"colon":[82],"images":[84],"reveal":[85],"proposed":[88],"is":[91],"effective":[92],"high":[95],"accuracies":[96],"image":[99]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
