{"id":"https://openalex.org/W4385764644","doi":"https://doi.org/10.24963/ijcai.2023/68","title":"Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning","display_name":"Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764644","doi":"https://doi.org/10.24963/ijcai.2023/68"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/68","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/68","pdf_url":"https://www.ijcai.org/proceedings/2023/0068.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0068.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033092050","display_name":"Yinda Chen","orcid":"https://orcid.org/0000-0002-1990-4224"},"institutions":[{"id":"https://openalex.org/I4210137491","display_name":"National Science Center","ror":"https://ror.org/03ha2q922","country_code":"PL","type":"funder","lineage":["https://openalex.org/I4210137491"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":true,"raw_author_name":"Yinda Chen","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center","University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center","institution_ids":["https://openalex.org/I4210137491","https://openalex.org/I4210105595"]},{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667042","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0001-7513-3105"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016268764","display_name":"S. Kevin Zhou","orcid":"https://orcid.org/0000-0002-2575-8104"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglong Zhou","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340133","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0001-7721-8452"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Chen","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008612863","display_name":"Zhiwei Xiong","orcid":"https://orcid.org/0000-0002-9787-7460"},"institutions":[{"id":"https://openalex.org/I4210137491","display_name":"National Science Center","ror":"https://ror.org/03ha2q922","country_code":"PL","type":"funder","lineage":["https://openalex.org/I4210137491"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Zhiwei Xiong","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center","University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center","institution_ids":["https://openalex.org/I4210137491","https://openalex.org/I4210105595"]},{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033092050"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I4210105595","https://openalex.org/I4210137491"],"apc_list":null,"apc_paid":null,"fwci":9.305,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.97824582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"609","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.864311933517456},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7541694641113281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6789143085479736},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6764729619026184},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5673936009407043},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5601067543029785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5560266971588135},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5205267667770386},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4922858774662018},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4603104591369629},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4477793276309967},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4326077997684479},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4236915707588196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3023679852485657},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.135684072971344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.864311933517456},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7541694641113281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6789143085479736},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6764729619026184},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5673936009407043},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5601067543029785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5560266971588135},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5205267667770386},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4922858774662018},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4603104591369629},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4477793276309967},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4326077997684479},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4236915707588196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3023679852485657},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.135684072971344},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2023/68","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/68","pdf_url":"https://www.ijcai.org/proceedings/2023/0068.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2310.04148","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.04148","pdf_url":"https://arxiv.org/pdf/2310.04148","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/68","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/68","pdf_url":"https://www.ijcai.org/proceedings/2023/0068.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6308808780","display_name":null,"funder_award_id":"62021001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764644.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1513082520","https://openalex.org/W1542941925","https://openalex.org/W1759689472","https://openalex.org/W1898703532","https://openalex.org/W1901129140","https://openalex.org/W2080858319","https://openalex.org/W2161969291","https://openalex.org/W2169805405","https://openalex.org/W2395575420","https://openalex.org/W2584383026","https://openalex.org/W2621042378","https://openalex.org/W2623960274","https://openalex.org/W2803790834","https://openalex.org/W2949808130","https://openalex.org/W2964043796","https://openalex.org/W2979779359","https://openalex.org/W2997564604","https://openalex.org/W3005680577","https://openalex.org/W3035060554","https://openalex.org/W3035127651","https://openalex.org/W3094502228","https://openalex.org/W3159481202","https://openalex.org/W4212875960","https://openalex.org/W4221167396","https://openalex.org/W4225385405","https://openalex.org/W4226402628","https://openalex.org/W4280490805","https://openalex.org/W4280631251","https://openalex.org/W4283822559","https://openalex.org/W4288751245","https://openalex.org/W4294827132","https://openalex.org/W4312312750","https://openalex.org/W4312428231","https://openalex.org/W4312685069","https://openalex.org/W4313156423","https://openalex.org/W4313339627","https://openalex.org/W4367721890","https://openalex.org/W4380136144","https://openalex.org/W4382449892","https://openalex.org/W4386076203"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"The":[0],"performance":[1,39],"of":[2,14,40,73,84,197],"existing":[3],"supervised":[4],"neuron":[5,99,198],"segmentation":[6,100,174],"methods":[7,35,193],"is":[8,139,169,201],"highly":[9],"dependent":[10],"on":[11,97,178,194],"the":[12,38,45,70,82,98,129,172,195],"number":[13],"accurate":[15],"annotations,":[16],"especially":[17],"when":[18],"applied":[19],"to":[20,55,69,116,128],"large":[21],"scale":[22],"electron":[23],"microscopy":[24],"(EM)":[25],"data.":[26],"By":[27],"extracting":[28],"semantic":[29],"information":[30,63],"from":[31,64],"unlabeled":[32],"data,":[33],"self-supervised":[34,192],"can":[36,163],"improve":[37],"downstream":[41,173],"tasks,":[42],"among":[43],"which":[44,168],"mask":[46],"image":[47,121],"model":[48,162],"(MIM)":[49],"has":[50,186],"been":[51],"widely":[52],"used":[53],"due":[54,68],"its":[56],"simplicity":[57],"and":[58,124],"effectiveness":[59],"in":[60,76],"recovering":[61],"original":[62],"masked":[65],"images.":[66],"However,":[67],"high":[71],"degree":[72],"structural":[74],"locality":[75],"EM":[77,180],"images,":[78],"as":[79,81,147],"well":[80],"existence":[83],"considerable":[85],"noise,":[86],"many":[87],"voxels":[88],"contain":[89],"little":[90],"discriminative":[91],"information,":[92],"making":[93],"MIM":[94,110],"pretraining":[95],"inefficient":[96],"task.":[101,175],"To":[102],"overcome":[103],"this":[104,160],"challenge,":[105],"we":[106,142],"propose":[107],"a":[108,151,187],"decision-based":[109],"that":[111,183],"utilizes":[112],"reinforcement":[113],"learning":[114],"(RL)":[115],"automatically":[117],"search":[118],"for":[119,136,156,171],"optimal":[120],"masking":[122,125],"ratio":[123],"strategy.":[126],"Due":[127],"vast":[130],"exploration":[131],"space,":[132],"using":[133],"single-agent":[134],"RL":[135],"voxel":[137],"prediction":[138],"impractical.":[140],"Therefore,":[141],"treat":[143],"each":[144],"input":[145],"patch":[146],"an":[148],"agent":[149],"with":[150],"shared":[152],"behavior":[153],"policy,":[154],"allowing":[155],"multi-agent":[157,161],"collaboration.":[158],"Furthermore,":[159],"capture":[164],"dependencies":[165],"between":[166],"voxels,":[167],"beneficial":[170],"Experiments":[176],"conducted":[177],"representative":[179],"datasets":[181],"demonstrate":[182],"our":[184],"approach":[185],"significant":[188],"advantage":[189],"over":[190],"alternative":[191],"task":[196],"segmentation.":[199],"Code":[200],"available":[202],"at":[203],"https://github.com/ydchen0806/dbMiM.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":16}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
