{"id":"https://openalex.org/W2965158339","doi":"https://doi.org/10.24963/ijcai.2019/121","title":"Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion","display_name":"Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965158339","doi":"https://doi.org/10.24963/ijcai.2019/121","mag":"2965158339"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/121","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/121","pdf_url":"https://www.ijcai.org/proceedings/2019/0121.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0121.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027686620","display_name":"Dongnan Liu","orcid":"https://orcid.org/0000-0001-8102-3949"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dongnan Liu","raw_affiliation_strings":["School of Computer Science, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038388335","display_name":"Donghao Zhang","orcid":"https://orcid.org/0000-0001-5663-6372"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Donghao Zhang","raw_affiliation_strings":["School of Computer Science, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041567418","display_name":"Yang Song","orcid":"https://orcid.org/0000-0003-1283-1672"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080719369","display_name":"Chaoyi Zhang","orcid":"https://orcid.org/0000-0001-8492-9711"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chaoyi Zhang","raw_affiliation_strings":["School of Computer Science, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403516","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-8736-8961"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Brigham and Women\u2019s Hospital, Harvard Medical School, USA","Brigham and Women's Hospital, Harvard Medical School, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women\u2019s Hospital, Harvard Medical School, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Brigham and Women's Hospital, Harvard Medical School, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082042615","display_name":"Lauren J. O\u2019Donnell","orcid":"https://orcid.org/0000-0003-0197-7801"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lauren O'Donnell","raw_affiliation_strings":["Brigham and Women\u2019s Hospital, Harvard Medical School, USA","Brigham and Women's Hospital, Harvard Medical School, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brigham and Women\u2019s Hospital, Harvard Medical School, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Brigham and Women's Hospital, Harvard Medical School, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076697411","display_name":"Weidong Cai","orcid":"https://orcid.org/0000-0003-3706-8896"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weidong Cai","raw_affiliation_strings":["School of Computer Science, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5027686620"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":4.6428,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.9582049,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"861","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9836999773979187,"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/segmentation","display_name":"Segmentation","score":0.8478248119354248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7964833974838257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7246754765510559},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6664329767227173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5668619275093079},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5418449640274048},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5353429913520813},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.520142138004303},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5042709112167358},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4888124167919159},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47288814187049866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3375440239906311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2384234368801117}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8478248119354248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964833974838257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7246754765510559},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6664329767227173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5668619275093079},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5418449640274048},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5353429913520813},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.520142138004303},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5042709112167358},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4888124167919159},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47288814187049866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3375440239906311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2384234368801117},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/121","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/121","pdf_url":"https://www.ijcai.org/proceedings/2019/0121.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/121","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/121","pdf_url":"https://www.ijcai.org/proceedings/2019/0121.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1673580489","display_name":null,"funder_award_id":"U01 CA199459","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1841581549","display_name":null,"funder_award_id":"P41 EB015902","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2233808799","display_name":null,"funder_award_id":"EB015898","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3245143659","display_name":null,"funder_award_id":"EB015902","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3994931183","display_name":null,"funder_award_id":"MH119222","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4349061046","display_name":null,"funder_award_id":"P41 EB015898","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4534740285","display_name":null,"funder_award_id":"CA199459","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7498458244","display_name":null,"funder_award_id":"R01 MH074794","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7873144146","display_name":null,"funder_award_id":"R01 MH119222","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965158339.pdf","grobid_xml":"https://content.openalex.org/works/W2965158339.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1899185266","https://openalex.org/W1901129140","https://openalex.org/W2012231760","https://openalex.org/W2043034051","https://openalex.org/W2134993189","https://openalex.org/W2151608510","https://openalex.org/W2156065311","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2550409828","https://openalex.org/W2552465644","https://openalex.org/W2592905743","https://openalex.org/W2592939477","https://openalex.org/W2598666589","https://openalex.org/W2613718673","https://openalex.org/W2798643036","https://openalex.org/W2807045376","https://openalex.org/W2883090707","https://openalex.org/W2885343725","https://openalex.org/W2891037900","https://openalex.org/W2891432762","https://openalex.org/W2891601902","https://openalex.org/W2892300271","https://openalex.org/W2899771611","https://openalex.org/W2910628332","https://openalex.org/W2962235052","https://openalex.org/W2963073614","https://openalex.org/W2963815618","https://openalex.org/W2963857746","https://openalex.org/W2963996492","https://openalex.org/W2964282006","https://openalex.org/W2965182628","https://openalex.org/W2999219213","https://openalex.org/W4289729888","https://openalex.org/W6791858558","https://openalex.org/W6863994431","https://openalex.org/W6864014924"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Automated":[0],"detection":[1],"and":[2,15,25,38,62,92,107,133,136],"segmentation":[3,40,76,83,131,138],"of":[4,22],"individual":[5],"nuclei":[6,23,130],"in":[7,103],"histopathology":[8,121],"images":[9],"is":[10],"important":[11],"for":[12],"cancer":[13],"diagnosis":[14],"prognosis.":[16],"Due":[17],"to":[18,45,53,89,112],"the":[19,47,57,86,104,128],"high":[20],"variability":[21],"appearances":[24],"numerous":[26],"overlapping":[27],"objects,":[28],"this":[29,70],"task":[30],"still":[31,64],"remains":[32],"challenging.":[33],"Deep":[34],"learning":[35],"based":[36],"semantic":[37,82,135],"instance":[39,87,105,137],"models":[41,139],"have":[42],"been":[43],"proposed":[44],"address":[46],"challenges,":[48],"but":[49],"these":[50],"methods":[51,132],"tend":[52],"concentrate":[54],"on":[55,118],"either":[56],"global":[58,91],"or":[59],"local":[60,93],"features":[61],"hence":[63],"suffer":[65],"from":[66],"information":[67,114],"loss.":[68,115],"In":[69],"work,":[71],"we":[72,96],"propose":[73],"a":[74,98,108,141],"panoptic":[75],"model":[77],"which":[78],"incorporates":[79],"an":[80],"auxiliary":[81],"branch":[84,88,106],"with":[85],"integrate":[90],"features.":[94],"Furthermore,":[95],"design":[97],"feature":[99],"map":[100],"fusion":[101],"mechanism":[102],"new":[109],"mask":[110],"generator":[111],"prevent":[113],"Experimental":[116],"results":[117],"three":[119],"different":[120],"datasets":[122],"demonstrate":[123],"that":[124],"our":[125],"method":[126],"outperforms":[127],"state-of-the-art":[129],"popular":[134],"by":[140],"large":[142],"margin.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":11}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}