{"id":"https://openalex.org/W4405491405","doi":"https://doi.org/10.1109/embc53108.2024.10782318","title":"Clisp: A Robust Interactive Segmentation Framework for Pathological Images","display_name":"Clisp: A Robust Interactive Segmentation Framework for Pathological Images","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405491405","doi":"https://doi.org/10.1109/embc53108.2024.10782318","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039941"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10782318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hannan Wang","orcid":null},"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":true,"raw_author_name":"Hannan Wang","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690272","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0002-9888-6238"},"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":"Jun Shi","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060754938","display_name":"Minfan Zhao","orcid":"https://orcid.org/0009-0008-4524-4830"},"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":"Minfan Zhao","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100307556","display_name":"Liang Qiao","orcid":null},"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":"Liang Qiao","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694711","display_name":"Zhaohui Wang","orcid":"https://orcid.org/0009-0009-8731-3598"},"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":"Zhaohui Wang","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101780193","display_name":"Yue Dai","orcid":"https://orcid.org/0009-0007-5832-3901"},"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":"Yue Dai","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043649466","display_name":"Yuchen Ma","orcid":"https://orcid.org/0000-0001-9520-2235"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuchen Ma","raw_affiliation_strings":["University of Virginia,School of Engineering & Applied Science,Charlottesville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia,School of Engineering & Applied Science,Charlottesville,USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085758579","display_name":"Hong An","orcid":"https://orcid.org/0000-0002-3900-3722"},"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":"Hong An","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20164817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994999766349792,"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":0.9994999766349792,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.995199978351593,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.7602232694625854},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6633744835853577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6621065735816956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6072633862495422},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5436396598815918},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44151943922042847},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41865724325180054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602232694625854},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6633744835853577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6621065735816956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6072633862495422},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5436396598815918},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44151943922042847},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41865724325180054},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10782318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039941","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039941","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1995911388","https://openalex.org/W2124351162","https://openalex.org/W2168555635","https://openalex.org/W2337429362","https://openalex.org/W2565639579","https://openalex.org/W2693096534","https://openalex.org/W2769833683","https://openalex.org/W2772723798","https://openalex.org/W2889232360","https://openalex.org/W2922239620","https://openalex.org/W2962967409","https://openalex.org/W2963072537","https://openalex.org/W2981994674","https://openalex.org/W2991405684","https://openalex.org/W3014974815","https://openalex.org/W3034278117","https://openalex.org/W3040784645","https://openalex.org/W3112701542","https://openalex.org/W3132926949","https://openalex.org/W3159637683","https://openalex.org/W3164697193","https://openalex.org/W3205959741","https://openalex.org/W4212875960","https://openalex.org/W4282933032","https://openalex.org/W4312418117","https://openalex.org/W4312446817","https://openalex.org/W4313156423","https://openalex.org/W4386350488","https://openalex.org/W4390874575"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"Recently,":[0],"automatic":[1],"segmentation":[2,16,52,93,181],"algorithms":[3],"based":[4],"on":[5,12,163,183],"deep":[6],"learning":[7],"have":[8,49],"achieved":[9],"promising":[10],"results":[11,170],"various":[13],"pathological":[14,32,60,125],"image":[15,126,149],"tasks.":[17,42],"However,":[18],"the":[19,27,56,118,137,148,160,168,177],"inherent":[20],"data-hungry":[21],"nature":[22],"of":[23,30,58,77,111,136],"these":[24,78],"methods":[25,53,79],"and":[26,108,167,186],"high":[28],"cost":[29,57],"annotating":[31,59],"images":[33,132],"make":[34],"them":[35],"difficult":[36],"to":[37,39,54,151,176],"apply":[38],"practical":[40],"clinical":[41],"To":[43,116],"address":[44],"this":[45,96],"problem,":[46],"many":[47],"studies":[48],"explored":[50],"interactive":[51,109],"reduce":[55],"images,":[61,113],"which":[62],"replace":[63],"pixel-by-pixel":[64],"annotation":[65,110,127],"operations":[66],"with":[67],"clicks":[68],"or":[69,92],"other":[70],"user":[71],"instructions.":[72],"Despite":[73],"their":[74],"effectiveness,":[75],"most":[76,184],"only":[80],"utilize":[81],"small-scale":[82],"data":[83],"resulting":[84],"in":[85,180],"poor":[86],"generalization":[87,119,189],"ability":[88],"for":[89,106,133,155],"different":[90],"tasks":[91],"objects.":[94],"In":[95],"paper,":[97],"we":[98,121,141],"propose":[99],"a":[100,123,143],"robust":[101],"Click-based":[102],"Interactive":[103],"Segmentation":[104],"framework":[105],"low-cost":[107],"Pathological":[112],"named":[114],"Clisp.":[115],"improve":[117],"ability,":[120],"construct":[122],"multi-source":[124],"dataset":[128],"including":[129],"around":[130],"79,000":[131],"supervised":[134],"training":[135],"proposed":[138,161],"method.":[139],"Besides,":[140],"adopt":[142],"heavy-parameter":[144],"vision":[145],"transformer":[146],"as":[147],"encoder":[150],"learn":[152],"feature":[153],"representations":[154],"large-scale":[156],"data.":[157],"We":[158],"evaluate":[159],"method":[162,179],"7":[164],"open-source":[165],"datasets,":[166],"experimental":[169],"show":[171],"that":[172],"Clisp":[173],"is":[174],"superior":[175],"baseline":[178],"performance":[182],"datasets":[185],"has":[187],"outstanding":[188],"ability.":[190]},"counts_by_year":[],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}