{"id":"https://openalex.org/W2016823852","doi":"https://doi.org/10.1117/12.2006319","title":"An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma","display_name":"An algorithm to evaluate the number of trabecular cell layers using nucleus arrangement applied to hepatocellular carcinoma","publication_year":2013,"publication_date":"2013-03-29","ids":{"openalex":"https://openalex.org/W2016823852","doi":"https://doi.org/10.1117/12.2006319","mag":"2016823852"},"language":"en","primary_location":{"id":"doi:10.1117/12.2006319","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006319","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5103650105","display_name":"Hideki Komagata","orcid":"https://orcid.org/0000-0003-2622-6887"},"institutions":[{"id":"https://openalex.org/I8588240","display_name":"Saitama Medical University","ror":"https://ror.org/04zb31v77","country_code":"JP","type":"education","lineage":["https://openalex.org/I8588240"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hideki Komagata","raw_affiliation_strings":["Saitama Medical Univ. (Japan)","Saitama Medical University (Japan)"],"affiliations":[{"raw_affiliation_string":"Saitama Medical Univ. (Japan)","institution_ids":["https://openalex.org/I8588240"]},{"raw_affiliation_string":"Saitama Medical University (Japan)","institution_ids":["https://openalex.org/I8588240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054830507","display_name":"Naoki Kobayashi","orcid":"https://orcid.org/0009-0006-0866-8517"},"institutions":[{"id":"https://openalex.org/I8588240","display_name":"Saitama Medical University","ror":"https://ror.org/04zb31v77","country_code":"JP","type":"education","lineage":["https://openalex.org/I8588240"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Kobayashi","raw_affiliation_strings":["Saitama Medical Univ. (Japan)","Saitama Medical University (Japan)"],"affiliations":[{"raw_affiliation_string":"Saitama Medical Univ. (Japan)","institution_ids":["https://openalex.org/I8588240"]},{"raw_affiliation_string":"Saitama Medical University (Japan)","institution_ids":["https://openalex.org/I8588240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021579676","display_name":"Ayako Katoh","orcid":null},"institutions":[{"id":"https://openalex.org/I8588240","display_name":"Saitama Medical University","ror":"https://ror.org/04zb31v77","country_code":"JP","type":"education","lineage":["https://openalex.org/I8588240"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayako Katoh","raw_affiliation_strings":["Saitama Medical Univ. (Japan)","Saitama Medical University (Japan)"],"affiliations":[{"raw_affiliation_string":"Saitama Medical Univ. (Japan)","institution_ids":["https://openalex.org/I8588240"]},{"raw_affiliation_string":"Saitama Medical University (Japan)","institution_ids":["https://openalex.org/I8588240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022395822","display_name":"Yasuka Ohnuki","orcid":null},"institutions":[{"id":"https://openalex.org/I8588240","display_name":"Saitama Medical University","ror":"https://ror.org/04zb31v77","country_code":"JP","type":"education","lineage":["https://openalex.org/I8588240"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuka Ohnuki","raw_affiliation_strings":["Saitama Medical Univ. (Japan)","Saitama Medical University (Japan)"],"affiliations":[{"raw_affiliation_string":"Saitama Medical Univ. (Japan)","institution_ids":["https://openalex.org/I8588240"]},{"raw_affiliation_string":"Saitama Medical University (Japan)","institution_ids":["https://openalex.org/I8588240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001727346","display_name":"Masahiro Ishikawa","orcid":"https://orcid.org/0000-0003-1628-3116"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Ishikawa","raw_affiliation_strings":["Tokyo Institute of Technology (Japan)","Tokyo institute of Technology (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010609069","display_name":"Kazuma Shinoda","orcid":"https://orcid.org/0000-0003-2675-3011"},"institutions":[{"id":"https://openalex.org/I8588240","display_name":"Saitama Medical University","ror":"https://ror.org/04zb31v77","country_code":"JP","type":"education","lineage":["https://openalex.org/I8588240"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuma Shinoda","raw_affiliation_strings":["Saitama Medical Univ. (Japan)","Saitama Medical University (Japan)"],"affiliations":[{"raw_affiliation_string":"Saitama Medical Univ. (Japan)","institution_ids":["https://openalex.org/I8588240"]},{"raw_affiliation_string":"Saitama Medical University (Japan)","institution_ids":["https://openalex.org/I8588240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009394089","display_name":"Masahiro Yamaguchi","orcid":"https://orcid.org/0000-0003-1001-4505"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Yamaguchi","raw_affiliation_strings":["Tokyo Institute of Technology (Japan)","Tokyo institute of Technology (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015940687","display_name":"Tokiya Abe","orcid":"https://orcid.org/0000-0003-0665-8834"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tokiya Abe","raw_affiliation_strings":["Keio Univ. (Japan)","(Keio University, Japan)"],"affiliations":[{"raw_affiliation_string":"Keio Univ. (Japan)","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"(Keio University, Japan)","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007582156","display_name":"Akinori Hashiguchi","orcid":"https://orcid.org/0000-0002-6455-071X"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akinori Hashiguchi","raw_affiliation_strings":["Keio Univ. (Japan)","(Keio University, Japan)"],"affiliations":[{"raw_affiliation_string":"Keio Univ. (Japan)","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"(Keio University, Japan)","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091811703","display_name":"Michiie Sakamoto","orcid":"https://orcid.org/0000-0003-3507-7369"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michiie Sakamoto","raw_affiliation_strings":["Keio Univ. (Japan)","(Keio University, Japan)"],"affiliations":[{"raw_affiliation_string":"Keio Univ. (Japan)","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"(Keio University, Japan)","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5103650105"],"corresponding_institution_ids":["https://openalex.org/I8588240"],"apc_list":null,"apc_paid":null,"fwci":0.4942,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75924588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8676","issue":null,"first_page":"86760M","last_page":"86760M"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9932000041007996,"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":0.9932000041007996,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.979200005531311,"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/T11287","display_name":"Cancer Genomics and Diagnostics","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.659699559211731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972229838371277},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5718581080436707},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5222095847129822},{"id":"https://openalex.org/keywords/hepatocellular-carcinoma","display_name":"Hepatocellular carcinoma","score":0.4978768825531006},{"id":"https://openalex.org/keywords/h-e-stain","display_name":"H&E stain","score":0.49012455344200134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48260557651519775},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.40046608448028564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3650728464126587},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16888585686683655},{"id":"https://openalex.org/keywords/staining","display_name":"Staining","score":0.12849050760269165}],"concepts":[{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.659699559211731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972229838371277},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5718581080436707},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5222095847129822},{"id":"https://openalex.org/C2778019345","wikidata":"https://www.wikidata.org/wiki/Q1148337","display_name":"Hepatocellular carcinoma","level":2,"score":0.4978768825531006},{"id":"https://openalex.org/C125473707","wikidata":"https://www.wikidata.org/wiki/Q9914","display_name":"H&E stain","level":3,"score":0.49012455344200134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48260557651519775},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.40046608448028564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3650728464126587},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16888585686683655},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.12849050760269165},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1117/12.2006319","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006319","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50199773","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100652584","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2359979928","https://openalex.org/W2368353614","https://openalex.org/W2390369954","https://openalex.org/W1529719486","https://openalex.org/W4232052003","https://openalex.org/W2373917503","https://openalex.org/W2906423005","https://openalex.org/W2385297469","https://openalex.org/W2001914902","https://openalex.org/W2353399380"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,127,132],"information":[3],"technology":[4,9],"have":[5,41],"improved":[6],"pathological":[7,16],"virtual-slide":[8],"and":[10,52,80,138,160,168,207],"diagnostic":[11,32,221],"support":[12,19,33,222],"system":[13],"studies":[14,30],"of":[15,37,48,70,85,88,91,97,124,130,155,184,187,197,201,218],"images.":[17],"Diagnostic":[18],"systems":[20],"utilize":[21],"quantitative":[22],"indices":[23],"determined":[24],"by":[25,44,136],"image":[26],"processing.":[27],"In":[28],"previous":[29],"on":[31,56,76,151],"systems,":[34],"carcinomatous":[35],"areas":[36],"breast":[38],"or":[39],"lung":[40],"been":[42],"recognized":[43],"the":[45,68,92,100,111,122,141,152,158,165,170,182,185],"feature":[46,72,83],"quantities":[47,84],"nuclear":[49],"sizes,":[50],"complexities,":[51],"internuclear":[53],"distances":[54],"based":[55,150],"graph":[57],"theory,":[58],"among":[59],"other":[60],"features.":[61],"Improving":[62],"recognition":[63],"accuracy":[64],"is":[65,99,107],"important":[66,94,108],"for":[67,120,193,220],"addition":[69],"new":[71,82,118],"quantities.":[73],"We":[74,115],"focused":[75],"hepatocellular":[77],"carcinoma":[78],"(HCC)":[79],"investigated":[81],"histological":[86,95,128,195],"images":[87,129],"HCC.":[89,198],"One":[90],"most":[93],"features":[96],"HCC":[98,131,219],"trabecular":[101],"pattern.":[102],"For":[103,140],"diagnosing":[104],"cancer,":[105],"it":[106],"to":[109],"recognize":[110],"tumor":[112,205],"cell":[113,125,188,202],"trabeculae.":[114],"propose":[116],"a":[117,145,175],"algorithm":[119,212],"calculating":[121],"number":[123,186,200],"layers":[126,189,203],"tissue":[133],"sections":[134],"stained":[135],"hematoxylin":[137],"eosin.":[139],"calculation,":[142],"we":[143,179],"used":[144],"Delaunay":[146,166,171],"diagram":[147],"that":[148],"was":[149],"median":[153],"points":[154],"nuclei,":[156],"deleted":[157],"sinusoid":[159],"fat":[161],"droplet":[162],"regions":[163],"from":[164],"diagram,":[167],"counted":[169],"lines":[172],"while":[173],"applying":[174],"thinning":[176],"algorithm.":[177],"Moreover,":[178],"experimented":[180],"with":[181,190],"calculation":[183],"our":[191,211],"method":[192],"different":[194],"grades":[196],"The":[199],"discriminated":[204],"differentiations":[206],"Edmondson":[208],"grades;":[209],"therefore,":[210],"may":[213],"serve":[214],"as":[215],"an":[216],"index":[217],"systems.":[223]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}