{"id":"https://openalex.org/W3020232209","doi":"https://doi.org/10.1109/isbi45749.2020.9098739","title":"Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation","display_name":"Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3020232209","doi":"https://doi.org/10.1109/isbi45749.2020.9098739","mag":"3020232209"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.09673","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021145092","display_name":"John Paul Francis","orcid":"https://orcid.org/0000-0003-1592-9683"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Paul Francis","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California Department of Biological Sciences Los Angeles California"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California Department of Biological Sciences Los Angeles California","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396652","display_name":"Hongzhi Wang","orcid":"https://orcid.org/0000-0002-7521-2871"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongzhi Wang","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, California","IBM Almaden Research Center; San Jose California"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, California","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center; San Jose California","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089374061","display_name":"Kate L. White","orcid":"https://orcid.org/0000-0001-8894-9621"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kate White","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California Department of Biological Sciences Los Angeles California"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California Department of Biological Sciences Los Angeles California","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057284370","display_name":"Tanveer Syeda-Mahmood","orcid":"https://orcid.org/0000-0003-0059-3208"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanveer Syeda-Mahmood","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, California","IBM Almaden Research Center; San Jose California"],"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, California","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Almaden Research Center; San Jose California","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017648766","display_name":"Raymond C. Stevens","orcid":"https://orcid.org/0000-0002-4522-8725"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond Stevens","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California Department of Biological Sciences Los Angeles California"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California Department of Biological Sciences Los Angeles California","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021145092"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04265019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1183","last_page":"1187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9926000237464905,"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":0.9926000237464905,"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.989799976348877,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9811000227928162,"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":0.7516100406646729},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7304891347885132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7234634160995483},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6773654222488403},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.6210200786590576},{"id":"https://openalex.org/keywords/ultrastructure","display_name":"Ultrastructure","score":0.6127374172210693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5594296455383301},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5217733979225159},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5067337155342102},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4932536482810974},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4517790377140045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43445053696632385},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14606976509094238},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.13032832741737366},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08256545662879944}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7516100406646729},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7304891347885132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234634160995483},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6773654222488403},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.6210200786590576},{"id":"https://openalex.org/C87555872","wikidata":"https://www.wikidata.org/wiki/Q3141316","display_name":"Ultrastructure","level":2,"score":0.6127374172210693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5594296455383301},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5217733979225159},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5067337155342102},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4932536482810974},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4517790377140045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43445053696632385},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14606976509094238},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.13032832741737366},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08256545662879944},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.09673","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.09673","pdf_url":"https://arxiv.org/pdf/2004.09673","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2004.09673","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.09673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/1jh5-k489","is_oa":true,"landing_page_url":"https://doi.org/10.17023/1jh5-k489","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3020232209","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.09673","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.09673","pdf_url":"https://arxiv.org/pdf/2004.09673","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337509","display_name":"Biological and Environmental Research","ror":"https://ror.org/0114b2m14"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3020232209.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1987869189","https://openalex.org/W2045777307","https://openalex.org/W2101700109","https://openalex.org/W2105955034","https://openalex.org/W2133217243","https://openalex.org/W2158681777","https://openalex.org/W2464708700","https://openalex.org/W2529448830","https://openalex.org/W2592929672","https://openalex.org/W2963351448","https://openalex.org/W6639824700","https://openalex.org/W6683235360"],"related_works":["https://openalex.org/W2991070244","https://openalex.org/W2285518352","https://openalex.org/W77922311","https://openalex.org/W2970800669","https://openalex.org/W2141122227","https://openalex.org/W2739465617","https://openalex.org/W3186322812","https://openalex.org/W1500080386","https://openalex.org/W2958010792","https://openalex.org/W2003345727","https://openalex.org/W1987106805","https://openalex.org/W3157733785","https://openalex.org/W2895303488","https://openalex.org/W2089927964","https://openalex.org/W1564071826","https://openalex.org/W2950338930","https://openalex.org/W2138364546","https://openalex.org/W2886175403","https://openalex.org/W3194189918","https://openalex.org/W2043034051"],"abstract_inverted_index":{"The":[0],"Pancreatic":[1],"beta":[2,15],"cell":[3,16,24],"is":[4],"an":[5],"important":[6],"target":[7],"in":[8],"diabetes":[9],"research.":[10],"For":[11,75],"scalable":[12],"modeling":[13],"of":[14,22,35,50,67,91],"ultastructure,":[17],"we":[18,59,78],"investigate":[19],"automatic":[20],"segmentation":[21],"whole":[23],"imaging":[25],"data":[26,70,95,100,112],"acquired":[27],"through":[28],"soft":[29],"X-ray":[30],"tomography.":[31],"During":[32],"the":[33,36,51,65],"course":[34],"study,":[37],"both":[38],"complete":[39],"and":[40,96,101],"partial":[41],"ultrastrucutre":[42],"annotations":[43],"were":[44],"produced":[45],"manually":[46],"for":[47,71],"different":[48],"subsets":[49],"data.":[52],"To":[53],"more":[54],"effectively":[55],"use":[56],"existing":[57],"annotations,":[58],"propose":[60],"a":[61,84,89],"method":[62,81],"that":[63,108],"enables":[64],"application":[66],"partially":[68,98],"labeled":[69],"full":[72],"label":[73],"segmentation.":[74],"experimental":[76],"validation,":[77],"apply":[79],"our":[80],"to":[82],"train":[83],"convolutional":[85],"neural":[86],"network":[87],"with":[88],"set":[90],"12":[92,97],"fully":[93,110],"annotated":[94,99,111],"show":[102],"promising":[103],"improvement":[104],"over":[105],"standard":[106],"training":[107],"uses":[109],"alone.":[113]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
