乐胖代购免代理版

{"id":"https://openalex.org/W2160041854","doi":"https://doi.org/10.1109/isbi.2011.5872394","title":"Ilastik: Interactive learning and segmentation toolkit","display_name":"Ilastik: Interactive learning and segmentation toolkit","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2160041854","doi":"https://doi.org/10.1109/isbi.2011.5872394","mag":"2160041854"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101552386","display_name":"Christoph Sommer","orcid":"https://orcid.org/0000-0003-1216-9105"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"funder","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Sommer","raw_affiliation_strings":["Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111410901","display_name":"Christoph Straehle","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"funder","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Straehle","raw_affiliation_strings":["Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110454166","display_name":"Ullrich K\u00f6the","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"funder","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ullrich Kothe","raw_affiliation_strings":["Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"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":"funder","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fred A. Hamprecht","raw_affiliation_strings":["Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":93.815,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1141,"citation_normalized_percentile":{"value":0.995833,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9994,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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":0.9988,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9944,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.43005902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8690492},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7531935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66920525},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.603321},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5397914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5074882},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.50733155},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4516725},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.43005902},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4281832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38553056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3319692},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1572099491","https://openalex.org/W165417043","https://openalex.org/W2096579040","https://openalex.org/W2107554012","https://openalex.org/W2115680416","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2134839354","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2151153808","https://openalex.org/W2163018106","https://openalex.org/W2163344010","https://openalex.org/W2166524747","https://openalex.org/W2167388493","https://openalex.org/W2169551590","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W4205800335","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2785294226","https://openalex.org/W2551987074","https://openalex.org/W2386644571","https://openalex.org/W2371519352","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W1999008862"],"abstract_inverted_index":{"Segmentation":[0],"is":[1,77,88,152,198],"the":[2,34,56,80,114,123,128,135,141,147,159,194,206],"process":[3,185],"of":[4,13,93,110,161,174,190],"partitioning":[5],"digital":[6],"images":[7,17,191],"into":[8],"meaningful":[9],"regions.":[10],"The":[11],"analysis":[12],"biological":[14],"high":[15],"content":[16],"often":[18],"requires":[19],"segmentation":[20,43,129],"as":[21,28],"a":[22,47,59,69,91,166,172,186],"first":[23],"step.":[24],"We":[25],"propose":[26],"ilastik":[27,50,67,97,117,197],"an":[29,199],"easy-to-use":[30],"tool":[31],"which":[32,84,156],"allows":[33],"user":[35,57,124,142],"without":[36],"expertise":[37],"in":[38,46,79,83,113,146],"image":[39],"processing":[40],"to":[41,100,125,143,183],"perform":[42],"and":[44,107,131,181,203],"classification":[45],"unified":[48],"way.":[49],"learns":[51],"from":[52],"labels":[53],"provided":[54],"by":[55,90,154],"through":[58],"convenient":[60],"mouse":[61],"interface.":[62],"Based":[63],"on":[64,171],"these":[65],"labels,":[66],"infers":[68],"problem":[70],"specific":[71],"segmentation.":[72],"A":[73],"random":[74],"forest":[75],"classifier":[76,167],"used":[78,182],"learning":[81],"step,":[82],"each":[85],"pixel's":[86],"neighborhood":[87],"characterized":[89],"set":[92,173],"generic":[94],"(nonlinear)":[95],"features.":[96],"supports":[98],"up":[99],"three":[101],"spatial":[102],"plus":[103],"one":[104],"spectral":[105],"dimension":[106],"makes":[108],"use":[109],"all":[111],"dimensions":[112],"feature":[115],"calculation.":[116],"provides":[118],"realtime":[119],"feedback":[120],"that":[121],"enables":[122],"interactively":[126],"refine":[127],"result":[130],"hence":[132],"further":[133],"fine-tune":[134],"classifier.":[136],"An":[137],"uncertainty":[138],"measure":[139],"guides":[140],"ambiguous":[144],"regions":[145],"images.":[148],"Real":[149],"time":[150],"performance":[151],"achieved":[153],"multi-threading":[155],"fully":[157],"exploits":[158],"capabilities":[160],"modern":[162],"multi-core":[163],"machines.":[164],"Once":[165],"has":[168],"been":[169],"trained":[170],"representative":[175],"images,":[176],"it":[177],"can":[178],"be":[179],"exported":[180],"automatically":[184],"very":[187],"large":[188],"number":[189],"(e.g.":[192],"using":[193],"CellProfiler":[195],"pipeline).":[196],"open":[200],"source":[201],"project":[202],"released":[204],"under":[205],"BSD":[207],"license":[208],"at":[209],"www.ilastik.org.":[210]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2160041854","counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":53},{"year":2023,"cited_by_count":59},{"year":2022,"cited_by_count":104},{"year":2021,"cited_by_count":107},{"year":2020,"cited_by_count":151},{"year":2019,"cited_by_count":192},{"year":2018,"cited_by_count":118},{"year":2017,"cited_by_count":83},{"year":2016,"cited_by_count":94},{"year":2015,"cited_by_count":61},{"year":2014,"cited_by_count":53},{"year":2013,"cited_by_count":30},{"year":2012,"cited_by_count":14}],"updated_date":"2025-04-18T19:16:37.723054","created_date":"2016-06-24"}