{"id":"https://openalex.org/W1986685116","doi":"https://doi.org/10.1145/1456223.1456316","title":"Identifying histological elements with convolutional neural networks","display_name":"Identifying histological elements with convolutional neural networks","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1986685116","doi":"https://doi.org/10.1145/1456223.1456316","mag":"1986685116"},"language":"en","primary_location":{"id":"doi:10.1145/1456223.1456316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1456223.1456316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology - CSTST '08","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/A5113865445","display_name":"Christopher Malon","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Malon","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ","NEC Lab. America, Princeton, NJ#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"NEC Lab. America, Princeton, NJ#TAB#","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101978566","display_name":"Matthew L. Miller","orcid":"https://orcid.org/0000-0003-0416-016X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Miller","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ","NEC Lab. America, Princeton, NJ#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"NEC Lab. America, Princeton, NJ#TAB#","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023816072","display_name":"Harold Christopher Burger","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harold Christopher Burger","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ","NEC Lab. America, Princeton, NJ#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"NEC Lab. America, Princeton, NJ#TAB#","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012049132","display_name":"Eric Cosatto","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Cosatto","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ","NEC Lab. America, Princeton, NJ#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"NEC Lab. America, Princeton, NJ#TAB#","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110182290","display_name":"Hans Peter Graf","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hans Peter Graf","raw_affiliation_strings":["NEC Laboratories America, Princeton, NJ","NEC Lab. America, Princeton, NJ#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Laboratories America, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"NEC Lab. America, Princeton, NJ#TAB#","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.06530516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"450","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9677000045776367,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8316019177436829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8001623153686523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6125559210777283},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.6058803200721741},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5239225029945374},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4896567463874817},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4818507432937622},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4414246678352356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41066718101501465}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8316019177436829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001623153686523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6125559210777283},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.6058803200721741},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5239225029945374},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4896567463874817},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4818507432937622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4414246678352356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41066718101501465},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1456223.1456316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1456223.1456316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology - CSTST '08","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1507282795","https://openalex.org/W1604507999","https://openalex.org/W1998430519","https://openalex.org/W1998576236","https://openalex.org/W2010871781","https://openalex.org/W2015725271","https://openalex.org/W2103771663","https://openalex.org/W2112796928","https://openalex.org/W2120284346","https://openalex.org/W2133418795","https://openalex.org/W2138763931","https://openalex.org/W2156398782","https://openalex.org/W2159291644","https://openalex.org/W2161113826","https://openalex.org/W2161551884","https://openalex.org/W2165221029","https://openalex.org/W2616465717"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Histological":[0],"analysis":[1,64],"on":[2,69],"stained":[3],"biopsy":[4],"samples":[5],"requires":[6],"recognizing":[7],"many":[8],"kinds":[9],"of":[10,18,83],"local":[11],"and":[12,76,105],"structural":[13],"details,":[14],"with":[15,61],"some":[16],"awareness":[17],"context.":[19],"Machine":[20],"learning":[21],"algorithms":[22],"such":[23,32],"as":[24],"convolutional":[25,56],"networks":[26,57],"can":[27,58],"be":[28,39,59],"powerful":[29],"tools":[30],"for":[31],"problems,":[33],"but":[34],"often":[35],"there":[36],"may":[37],"not":[38],"enough":[40],"training":[41,85],"data":[42],"to":[43,46,65,91,98,106],"exploit":[44],"them":[45],"their":[47],"full":[48],"potential.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"show":[54],"how":[55],"combined":[60],"appropriate":[62],"image":[63],"achieve":[66],"high":[67],"accuracies":[68],"three":[70,88],"very":[71],"different":[72],"tasks":[73],"in":[74,95,102],"breast":[75],"gastric":[77],"cancer":[78],"grading,":[79],"despite":[80],"the":[81,96,103],"challenge":[82],"limited":[84],"data.":[86],"The":[87],"problems":[89],"are":[90],"count":[92],"mitotic":[93],"figures":[94],"breast,":[97],"recognize":[99],"epithelial":[100],"layers":[101],"stomach,":[104],"detect":[107],"signet":[108],"ring":[109],"cells.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}