{"id":"https://openalex.org/W7128611864","doi":"https://doi.org/10.1109/icnsc66229.2025.00015","title":"OrganRcnn: Instance Segmentation of Intestinal Organoid Images","display_name":"OrganRcnn: Instance Segmentation of Intestinal Organoid Images","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W7128611864","doi":"https://doi.org/10.1109/icnsc66229.2025.00015"},"language":null,"primary_location":{"id":"doi:10.1109/icnsc66229.2025.00015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc66229.2025.00015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000074603","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-4091-8532"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Yang","raw_affiliation_strings":["Software Engineering, Xinjiang University,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering, Xinjiang University,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125636614","display_name":"Xi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhou","raw_affiliation_strings":["The Xinjiang Technical institute of Physics and Chemistry, Chinese Academy of Sciences,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Xinjiang Technical institute of Physics and Chemistry, Chinese Academy of Sciences,Urumqi,China","institution_ids":["https://openalex.org/I4210106108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351558","display_name":"Zhibin Li","orcid":"https://orcid.org/0000-0002-0501-2305"},"institutions":[{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Li","raw_affiliation_strings":["The Xinjiang Technical institute of Physics and Chemistry, Chinese Academy of Sciences,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Xinjiang Technical institute of Physics and Chemistry, Chinese Academy of Sciences,Urumqi,China","institution_ids":["https://openalex.org/I4210106108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122998592","display_name":"Weitong Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitong Xing","raw_affiliation_strings":["Software Engineering, Xinjiang University,Urumqi,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Engineering, Xinjiang University,Urumqi,China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.4381999969482422,"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":0.4381999969482422,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.16840000450611115,"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/T11190","display_name":"3D Printing in Biomedical Research","score":0.11540000140666962,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/organoid","display_name":"Organoid","score":0.8648999929428101},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7955999970436096},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6132000088691711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5774000287055969},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.489300012588501},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4596000015735626},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4587000012397766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4546999931335449}],"concepts":[{"id":"https://openalex.org/C31695470","wikidata":"https://www.wikidata.org/wiki/Q11293125","display_name":"Organoid","level":2,"score":0.8648999929428101},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7955999970436096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7870000004768372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578999996185303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.656000018119812},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6132000088691711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5774000287055969},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4587000012397766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4546999931335449},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35589998960494995},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.33719998598098755},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.2685000002384186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc66229.2025.00015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc66229.2025.00015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7786632776260376}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Organoids":[0],"are":[1,95,130],"three-dimensional":[2],"(3D)":[3],"cell":[4,20,49],"cultures":[5],"that":[6,152],"replicate":[7],"key":[8],"characteristics":[9],"of":[10,28,45,63,122,127],"organs,":[11],"widely":[12],"utilized":[13],"in":[14,65,166],"fields":[15],"such":[16],"as":[17],"developmental":[18],"biology,":[19,21],"and":[22,32,41,60],"regenerative":[23],"medicine.":[24],"However,":[25],"accurate":[26],"evaluation":[27,161],"their":[29],"morphological":[30],"features":[31],"growth":[33],"status":[34],"remains":[35],"challenging":[36],"due":[37],"to":[38,98,108,119,133],"imaging":[39,110],"artifacts":[40],"the":[42,99,113,141],"irregular":[43],"shapes":[44],"organoids.":[46],"Traditional":[47],"2D":[48],"culture":[50,68],"methods":[51],"lack":[52],"effective":[53],"automated":[54],"segmentation":[55,78,143,157],"tools":[56],"for":[57,85],"precise":[58],"localization":[59],"quantitative":[61],"analysis":[62,170],"organoids":[64,121],"a":[66,75,82],"3D":[67],"environment.":[69],"To":[70],"address":[71],"this,":[72],"based":[73],"on":[74,147],"two-stage":[76],"instance":[77,88,156],"framework,":[79],"we":[80],"propose":[81],"novel":[83],"model":[84],"organoid":[86,148],"image":[87,149,169],"segmentation,":[89],"OrganRcnn.":[90],"Specifically,":[91],"two":[92],"parallel":[93],"branches":[94,129],"introduced":[96],"prior":[97],"ROI":[100],"extraction":[101,118],"stage:":[102],"one":[103],"branch":[104],"leverages":[105],"Fourier":[106],"transform":[107],"suppress":[109],"artifacts,":[111],"while":[112],"other":[114],"employs":[115],"multi-scale":[116],"feature":[117],"capture":[120],"varying":[123],"sizes.":[124],"The":[125],"outputs":[126],"these":[128],"subsequently":[131],"fused":[132],"generate":[134],"more":[135],"discriminative":[136],"region":[137],"proposals,":[138],"thereby":[139],"enhancing":[140],"overall":[142],"performance.":[144],"Experimental":[145],"results":[146],"datasets":[150],"demonstrate":[151],"OrganRenn":[153],"outperforms":[154],"existing":[155],"models":[158],"across":[159],"multiple":[160],"metrics,":[162],"confirming":[163],"its":[164],"effectiveness":[165],"complex":[167],"biomedical":[168],"tasks.":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-02-12T00:00:00"}