{"id":"https://openalex.org/W6925965567","doi":"https://doi.org/10.21227/7np1-2q42","title":"SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images","display_name":"SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images","publication_year":2021,"publication_date":"2021-04-29","ids":{"openalex":"https://openalex.org/W6925965567","doi":"https://doi.org/10.21227/7np1-2q42"},"language":"en","primary_location":{"id":"doi:10.21227/7np1-2q42","is_oa":true,"landing_page_url":"https://doi.org/10.21227/7np1-2q42","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/7np1-2q42","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Gupta, Anubha","orcid":"https://orcid.org/0000-0002-7752-1926"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gupta, Anubha","raw_affiliation_strings":["Indraprastha Institute of Information Technology-Delhi (IIITD), India"],"raw_orcid":"https://orcid.org/0000-0002-7752-1926","affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology-Delhi (IIITD), India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gupta, Ritu","orcid":"https://orcid.org/0000-0001-5364-4086"},"institutions":[{"id":"https://openalex.org/I129734738","display_name":"All India Institute of Medical Sciences Raipur","ror":"https://ror.org/02ys8pq62","country_code":"IN","type":"education","lineage":["https://openalex.org/I129734738"]},{"id":"https://openalex.org/I4210106490","display_name":"All India Institute of Medical Sciences Bhopal","ror":"https://ror.org/01rs0zz87","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210106490"]},{"id":"https://openalex.org/I63739035","display_name":"All India Institute of Medical Sciences","ror":"https://ror.org/02dwcqs71","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799351866","https://openalex.org/I4210148677","https://openalex.org/I63739035"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gupta, Ritu","raw_affiliation_strings":["AIIMS, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0001-5364-4086","affiliations":[{"raw_affiliation_string":"AIIMS, New Delhi, India","institution_ids":["https://openalex.org/I129734738","https://openalex.org/I63739035","https://openalex.org/I4210106490"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gehlot, Shiv","orcid":"https://orcid.org/0000-0002-2891-8185"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gehlot, Shiv","raw_affiliation_strings":["Indraprastha Institute of Information Technology-Delhi (IIITD), India"],"raw_orcid":"https://orcid.org/0000-0002-2891-8185","affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology-Delhi (IIITD), India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gehlot, Shubham","orcid":"https://orcid.org/0000-0002-1376-1736"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gehlot, Shubham","raw_affiliation_strings":["Indraprastha Institute of Information Technology-Delhi (IIITD), India"],"raw_orcid":"https://orcid.org/0000-0002-1376-1736","affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology-Delhi (IIITD), India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119939252"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12199","display_name":"Vascular Anomalies and Treatments","score":0.4309999942779541,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12199","display_name":"Vascular Anomalies and Treatments","score":0.4309999942779541,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T11260","display_name":"Tracheal and airway disorders","score":0.12999999523162842,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12342","display_name":"Vascular anomalies and interventions","score":0.06639999896287918,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/cytoplasm","display_name":"Cytoplasm","score":0.8288000226020813},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7638000249862671},{"id":"https://openalex.org/keywords/stain","display_name":"Stain","score":0.664900004863739},{"id":"https://openalex.org/keywords/nucleus","display_name":"Nucleus","score":0.5992000102996826},{"id":"https://openalex.org/keywords/cell","display_name":"Cell","score":0.5521000027656555},{"id":"https://openalex.org/keywords/multiple-myeloma","display_name":"Multiple myeloma","score":0.5320000052452087},{"id":"https://openalex.org/keywords/cell-type","display_name":"Cell type","score":0.46470001339912415}],"concepts":[{"id":"https://openalex.org/C190062978","wikidata":"https://www.wikidata.org/wiki/Q79899","display_name":"Cytoplasm","level":2,"score":0.8288000226020813},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7638000249862671},{"id":"https://openalex.org/C2781294515","wikidata":"https://www.wikidata.org/wiki/Q2733470","display_name":"Stain","level":3,"score":0.664900004863739},{"id":"https://openalex.org/C2780723820","wikidata":"https://www.wikidata.org/wiki/Q1934178","display_name":"Nucleus","level":2,"score":0.5992000102996826},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C2776364478","wikidata":"https://www.wikidata.org/wiki/Q467635","display_name":"Multiple myeloma","level":2,"score":0.5320000052452087},{"id":"https://openalex.org/C189014844","wikidata":"https://www.wikidata.org/wiki/Q189118","display_name":"Cell type","level":3,"score":0.46470001339912415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46219998598098755},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.46160000562667847},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4478999972343445},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.40070000290870667},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3646000027656555},{"id":"https://openalex.org/C2780114586","wikidata":"https://www.wikidata.org/wiki/Q40260","display_name":"Cell nucleus","level":3,"score":0.3513000011444092},{"id":"https://openalex.org/C2776396001","wikidata":"https://www.wikidata.org/wiki/Q250694","display_name":"Plasma cell","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C96232424","wikidata":"https://www.wikidata.org/wiki/Q4118072","display_name":"Cancer cell","level":3,"score":0.33889999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.325300008058548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3133000135421753},{"id":"https://openalex.org/C553184892","wikidata":"https://www.wikidata.org/wiki/Q1141429","display_name":"Flow cytometry","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.27959999442100525},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/7np1-2q42","is_oa":true,"landing_page_url":"https://doi.org/10.21227/7np1-2q42","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/7np1-2q42","is_oa":true,"landing_page_url":"https://doi.org/10.21227/7np1-2q42","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.43911945819854736}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Of":[0],"late,":[1],"efforts":[2],"are":[3,77,284,295,351,388,399,449,458,510,543],"underway":[4],"to":[5,35,55,94,110,219,229,286,401,427,441],"build":[6,56,281],"computer-assisted":[7,17],"diagnostic":[8],"tools":[9,18],"for":[10,60,256,322,347],"cancer":[11,257,346],"diagnosis":[12,348],"via":[13],"image":[14,491],"processing.":[15],"Such":[16],"require":[19],"capturing":[20],"of":[21,26,29,31,48,72,85,103,136,145,150,157,172,203,213,222,233,345,369,378,386,417,434,446,465,471,478,496,504,515],"images,":[22,27,467,473],"stain":[23,80,395,450],"color":[24,81,207,451],"normalization":[25],"segmentation":[28,47,88,171,325],"cells":[30,49,114,126,138,158,173,182,306,385,398],"interest,":[32,204],"and":[33,105,148,165,208,236,245,293,396,474,507],"classification":[34],"count":[36],"malignant":[37],"versus":[38],"healthy":[39],"cells.":[40,123],"This":[41,247],"dataset":[42,264,301,482,509,532],"is":[43,51,69,91,99,242,248,330,375,499],"positioned":[44],"towards":[45,251],"robust":[46],"which":[50,68],"the":[52,143,163,170,187,201,220,223,231,234,240,269,299,304,333,343,355,383,428,442,461,475,486,497,505,513,516,527,530,537,546],"first":[53],"stage":[54],"such":[57],"a":[58,70,100,196,214,376,415,432,437],"tool":[59],"plasma":[61,86,323,384,397],"cell":[62,87,109,147,199,202,215,235,324],"cancer,":[63,381],"namely,":[64],"Multiple":[65,260,337],"Myeloma":[66,338],"(MM),":[67,339],"type":[71,377],"blood":[73,198,380,387],"cancer.":[74],"The":[75,83,113,125,211,262,481,494,501,523],"images":[76,267,271,361,448],"provided":[78],"after":[79],"normalization.":[82],"problem":[84,241],"in":[89,117,128,186,259,407,485,545],"MM":[90,374],"challenging":[92,244],"owing":[93],"multiple":[95,181],"reasons-":[96],"1)":[97,462],"There":[98,178,190],"varying":[101],"amount":[102],"nucleus":[104,149,156,166,292],"cytoplasm":[106,135,144,164,212,294],"from":[107,274,332,336,364,436],"one":[108,146],"another.":[111],"2)":[112,468],"may":[115,130,174,179,191,216],"appear":[116],"clusters":[118,129],"or":[119,316],"as":[120,307],"isolated":[121],"single":[122],"3)":[124],"appearing":[127],"have":[131,167],"three":[132],"cases-":[133],"(a)":[134],"two":[137,275,412],"touch":[139,152,159],"each":[140,153,160,184],"other":[141,185],"(b)":[142],"another":[151],"other,":[154],"(c)":[155],"other.":[161],"Since":[162],"different":[168],"colors,":[169],"pose":[175],"challenges.":[176],"4)":[177],"be":[180,192,217,402,521],"touching":[183],"cluster.":[188],"5)":[189],"unstained":[193],"cells,":[194],"say":[195],"red":[197],"underneath":[200],"changing":[205],"its":[206],"shade.":[209],"6)":[210],"close":[218],"background":[221],"whole":[224],"image,":[225],"making":[226],"it":[227],"difficult":[228],"identify":[230],"boundary":[232],"segment":[237],"it.":[238],"Hence,":[239],"very":[243],"interesting.":[246],"an":[249,253],"effort":[250],"building":[252],"automated":[254],"pipeline":[255],"detection":[258],"Myeloma.":[261],"current":[263],"has":[265],"775":[266,447],"including":[268],"above":[270],"but":[272],"captured":[273,363,406],"cameras":[276,287],"so":[277],"that":[278,283,302],"researchers":[279,310,524],"can":[280,311,525],"methods":[282],"invariant":[285],"used.":[288],"Data":[289],"annotation,":[290],"both":[291],"marked":[296],"separately":[297],"unlike":[298],"previous":[300],"had":[303],"complete":[305],"marked.":[308],"Interested":[309],"propose":[312],"deep":[313],"learning":[314,319],"based":[315,320],"advanced":[317],"machine":[318],"solutions":[321],"using":[326,393,411,420,453],"this":[327],"dataset.This":[328],"data":[329],"collected":[331],"subjects":[334],"suffering":[335],"who":[340,350],"came":[341],"with":[342,372,414],"symptoms":[344],"and/or":[349],"under":[352],"treatment":[353],"at":[354,431,536,539],"AIIMS,":[356],"New":[357],"Delhi,":[358],"India.":[359],"Microscopic":[360],"were":[362,391,405],"bone":[365],"marrow":[366],"aspirate":[367],"slides":[368],"patients":[370],"diagnosed":[371],"MM.":[373],"white":[379],"where":[382],"involved.":[389],"Slides":[390],"stained":[392],"Jenner-Giemsa":[394],"required":[400],"segmented.":[403],"Images":[404],"raw":[408],"BMP":[409],"format":[410],"cameras:1)":[413],"size":[416,433],"2040x1536":[418],"pixels":[419],"cellSens":[421],"software":[422],"Version":[423],"2.1":[424],"(Olympus)":[425],"attached":[426,440],"microscope":[429],"and2)":[430],"1920x2560pixels":[435],"Nikon":[438],"camera":[439],"microscope.":[443],"A":[444],"total":[445],"normalized":[452],"our":[454],"in-house":[455],"methodology.":[456],"These":[457],"divided":[459],"into":[460],"training":[463,506],"set":[464,470,477,518],"298":[466],"Validation":[469],"200":[472],"test":[476,517,531],"277":[479],"images.":[480],"was":[483],"used":[484],"IEEE":[487],"ISBI":[488],"2021":[489],"medical":[490],"challenge":[492,498],"dataset.":[493],"leaderboard":[495,538],"active.":[500],"ground":[502],"truth":[503],"validation":[508],"provided,":[511],"while":[512],"GT":[514],"will":[519],"not":[520],"shared.":[522],"check":[526],"performance":[528],"on":[529],"by":[533],"uploading":[534],"results":[535],"https://segpc-2021.grand-challenge.org/evaluation/final-test-phase/leaderboard/.":[540],"Full":[541],"details":[542],"available":[544],"readme":[547],"file.":[548]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}