{"id":"https://openalex.org/W4402351753","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651396","title":"Weakly Supervised Segmentation of Plasma Cells in Bone Marrow via Scribble Annotations","display_name":"Weakly Supervised Segmentation of Plasma Cells in Bone Marrow via Scribble Annotations","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351753","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651396"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651396","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5100326436","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0002-1599-0831"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Chen","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594356","display_name":"Chengliang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengliang Wang","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111696018","display_name":"Xing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wu","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041426396","display_name":"Longrong Ran","orcid":"https://orcid.org/0009-0000-1725-7345"},"institutions":[{"id":"https://openalex.org/I4210154480","display_name":"Chongqing Cancer Hospital","ror":"https://ror.org/047d8yx24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154480"]},{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longrong Ran","raw_affiliation_strings":["Chongqing University Cancer Hospital,Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment,Department of Hematology-Oncology,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University Cancer Hospital,Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment,Department of Hematology-Oncology,Chongqing,China","institution_ids":["https://openalex.org/I4210154480","https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900863","display_name":"Zailin Yang","orcid":"https://orcid.org/0000-0002-8587-975X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I4210154480","display_name":"Chongqing Cancer Hospital","ror":"https://ror.org/047d8yx24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zailin Yang","raw_affiliation_strings":["Chongqing University Cancer Hospital,Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment,Department of Hematology-Oncology,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University Cancer Hospital,Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment,Department of Hematology-Oncology,Chongqing,China","institution_ids":["https://openalex.org/I4210154480","https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115596384","display_name":"Yao Liu","orcid":"https://orcid.org/0009-0000-1843-0517"},"institutions":[{"id":"https://openalex.org/I4210154480","display_name":"Chongqing Cancer Hospital","ror":"https://ror.org/047d8yx24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210154480"]},{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Liu","raw_affiliation_strings":["Chongqing University Cancer Hospital,Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment,Department of Hematology-Oncology,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University Cancer Hospital,Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment,Department of Hematology-Oncology,Chongqing,China","institution_ids":["https://openalex.org/I4210154480","https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100326436"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14549961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9607999920845032,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9532999992370605,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5922210216522217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.582491934299469},{"id":"https://openalex.org/keywords/bone-marrow","display_name":"Bone marrow","score":0.5436347126960754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4317760467529297},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20931842923164368},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.16471266746520996}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5922210216522217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.582491934299469},{"id":"https://openalex.org/C2780007613","wikidata":"https://www.wikidata.org/wiki/Q546523","display_name":"Bone marrow","level":2,"score":0.5436347126960754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4317760467529297},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20931842923164368},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.16471266746520996}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651396","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10651396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7099999785423279,"display_name":"Zero hunger"}],"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":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2127890285","https://openalex.org/W2144728882","https://openalex.org/W2145023731","https://openalex.org/W2293363371","https://openalex.org/W2337429362","https://openalex.org/W2345670464","https://openalex.org/W2804047627","https://openalex.org/W2871579310","https://openalex.org/W2950623159","https://openalex.org/W2963687373","https://openalex.org/W3092564080","https://openalex.org/W3094901756","https://openalex.org/W3127595489","https://openalex.org/W3129501203","https://openalex.org/W3152004749","https://openalex.org/W3167306551","https://openalex.org/W3199551447","https://openalex.org/W3203046931","https://openalex.org/W3203488660","https://openalex.org/W4295312788","https://openalex.org/W4295747380","https://openalex.org/W4308030862","https://openalex.org/W4387807609","https://openalex.org/W6681588610","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Multiple":[0,114],"Myeloma":[1,115],"(MM)":[2],"is":[3,23],"a":[4,24,84,89,99],"type":[5],"of":[6,15,30,56,64,107,127],"white":[7],"blood":[8],"cell":[9,79,109],"cancer":[10],"involving":[11],"the":[12,28,54,62,105,113,125],"abnormal":[13],"multiplication":[14],"plasma":[16],"cells.":[17],"Performing":[18],"nucleus":[19],"and":[20,98,123],"cytoplasm":[21],"segmentation":[22,36,41],"critical":[25],"step":[26],"in":[27,78],"analysis":[29],"MM.":[31],"Compared":[32],"to":[33,61,103],"traditional":[34],"semantic":[35,40],"methods,":[37],"weakly":[38,141],"supervised":[39,142],"models":[42],"based":[43,120,144],"on":[44,121,130,145],"scribble":[45,146],"annotations":[46],"require":[47],"less":[48],"labeling":[49],"information,":[50],"which":[51],"can":[52],"reduce":[53],"workload":[55],"manual":[57],"annotation.":[58],"However,":[59],"due":[60],"lack":[63],"explicit":[65],"supervisory":[66],"information":[67],"for":[68,95],"contours,":[69],"these":[70],"methods":[71],"perform":[72],"poorly":[73],"at":[74],"object":[75],"boundaries,":[76],"particularly":[77],"segmentation.":[80],"Therefore,":[81],"we":[82],"propose":[83],"tri-branch":[85],"network":[86],"that":[87,136],"incorporates":[88],"contour":[90,100],"pseudo":[91],"label":[92],"supervision":[93],"module":[94],"multitask":[96],"learning":[97],"attention":[101],"mechanism":[102],"enhance":[104],"capability":[106],"segmenting":[108],"contours.":[110],"We":[111],"constructed":[112],"Plasma":[116],"Cells":[117],"scribble-annotated":[118],"dataset":[119],"SegPC-2021":[122],"validated":[124],"effectiveness":[126],"our":[128,137],"method":[129,138],"this":[131],"dataset.":[132],"Experimental":[133],"results":[134],"demonstrate":[135],"surpasses":[139],"other":[140],"approaches":[143],"annotations.":[147]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}