{"id":"https://openalex.org/W4386597254","doi":"https://doi.org/10.1109/icip49359.2023.10222722","title":"Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation","display_name":"Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597254","doi":"https://doi.org/10.1109/icip49359.2023.10222722"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5100612521","display_name":"Jie Song","orcid":"https://orcid.org/0000-0003-4111-2570"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Song","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018496298","display_name":"Ziyun Cai","orcid":"https://orcid.org/0000-0001-6822-915X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyun Cai","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024193112","display_name":"Yurong Song","orcid":"https://orcid.org/0000-0002-5827-4413"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Song","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005382201","display_name":"Guo\u2010Ping Jiang","orcid":"https://orcid.org/0000-0001-9448-0989"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoping Jiang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,College of Automation & College of Artificial Intelligence,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016645765","display_name":"Zhichao Lian","orcid":"https://orcid.org/0000-0002-6643-8975"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Lian","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020302879","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0003-0178-9384"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xiao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100612521"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1751,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55872048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2920","last_page":"2924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9986000061035156,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7580673098564148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6895718574523926},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6876726150512695},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6440825462341309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5808194875717163},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5793622732162476},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.47762173414230347},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47310662269592285},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4513850808143616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4332118630409241},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.43216848373413086},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4266612231731415},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.42008793354034424},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4177218973636627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23453369736671448}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7580673098564148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895718574523926},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6876726150512695},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6440825462341309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5808194875717163},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5793622732162476},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.47762173414230347},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47310662269592285},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4513850808143616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4332118630409241},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.43216848373413086},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4266612231731415},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.42008793354034424},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4177218973636627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23453369736671448},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W2086921140","https://openalex.org/W2087363576","https://openalex.org/W2104095591","https://openalex.org/W2109517492","https://openalex.org/W2155813740","https://openalex.org/W2216125271","https://openalex.org/W2592905743","https://openalex.org/W2790813572","https://openalex.org/W2810644003","https://openalex.org/W2949763629","https://openalex.org/W2950635152","https://openalex.org/W2963150697","https://openalex.org/W2963270775","https://openalex.org/W2963406768","https://openalex.org/W2963659353","https://openalex.org/W2981994674","https://openalex.org/W2982182858","https://openalex.org/W2996290406","https://openalex.org/W3035709993","https://openalex.org/W3089565697","https://openalex.org/W3201559326","https://openalex.org/W3203097488","https://openalex.org/W6637940777","https://openalex.org/W6967010625"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W2355833770","https://openalex.org/W1985458517","https://openalex.org/W3031039437","https://openalex.org/W2351917300","https://openalex.org/W2911467035","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W4388208420"],"abstract_inverted_index":{"Precisely":[0],"knowing":[1],"each":[2,30,99,109],"instance\u2019s":[3],"position":[4],"and":[5,48,69,125,143],"extents":[6],"is":[7],"a":[8,86,102,120],"critical":[9],"first":[10],"step":[11],"in":[12,101,117,139],"many":[13],"biological":[14],"applications.":[15],"State-of-the-art":[16],"techniques":[17],"rely":[18],"either":[19],"on":[20,29,36,98],"deep":[21],"learning":[22],"models":[23],"designed":[24],"to":[25,44,50],"predict":[26,96],"segmentation":[27],"masks":[28,52],"Region":[31],"of":[32,72,89,119,150],"Interest":[33],"(RoI)":[34],"or":[35],"classic":[37],"active":[38,92],"contour":[39,93,114,148],"methods.":[40],"The":[41],"former":[42],"struggles":[43],"precisely":[45],"delineating":[46],"boundaries":[47],"tends":[49],"output":[51],"at":[53],"low":[54],"resolutions":[55],"when":[56],"the":[57,63,90,113,127],"cells/nuclei":[58],"are":[59],"very":[60],"irregular":[61],"while":[62],"latter":[64],"often":[65],"needs":[66],"good":[67],"initialization":[68],"manual":[70],"setting":[71],"parameters,":[73],"thus":[74],"limiting":[75],"their":[76],"usefulness.":[77],"To":[78,105],"bridge":[79],"this":[80],"gap,":[81],"we":[82,111],"introduce":[83],"Snake":[84],"R-CNN,":[85],"new":[87],"level":[88],"learnable":[91],"model":[94],"that":[95],"boundary":[97],"RoI":[100],"sequent":[103],"way.":[104],"do":[106],"so,":[107],"for":[108,147,160],"RoI,":[110],"reformulate":[112],"deformation":[115],"task":[116],"terms":[118],"hidden":[121],"state":[122],"evolution":[123,128],"problem":[124],"update":[126],"process":[129],"using":[130],"energy":[131],"minimization.":[132],"We":[133],"learn":[134],"snake":[135],"parameterizations":[136],"per":[137],"instance":[138],"an":[140],"end-to-end":[141],"manner,":[142],"demonstrate":[144],"its":[145],"effectiveness":[146],"inferences":[149],"various":[151],"cell/nucleus":[152],"types":[153],"where":[154],"consistently":[155],"higher":[156],"performances":[157],"were":[158],"obtained":[159],"comparison":[161],"against":[162],"state-of-the-arts.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}