{"id":"https://openalex.org/W4226347284","doi":"https://doi.org/10.1109/isbi52829.2022.9761538","title":"Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks","display_name":"Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4226347284","doi":"https://doi.org/10.1109/isbi52829.2022.9761538"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761538","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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/A5020852140","display_name":"Sergey Pnev","orcid":null},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Sergey Pnev","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067595350","display_name":"Vladimir Groza","orcid":"https://orcid.org/0000-0001-9483-8784"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Groza","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Median Technologies, Valbonne, France","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Median Technologies, Valbonne, France","institution_ids":[]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019003515","display_name":"Bair Tuchinov","orcid":"https://orcid.org/0000-0002-8931-9848"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Bair Tuchinov","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027456095","display_name":"\u0415. \u041b. \u0410\u043c\u0435\u043b\u0438\u043d\u0430","orcid":"https://orcid.org/0000-0001-7537-3846"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeniya Amelina","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061142852","display_name":"Evgeniy Pavlovskiy","orcid":"https://orcid.org/0000-0001-6976-1885"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeniy Pavlovskiy","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059744255","display_name":"Nikolay Tolstokulakov","orcid":"https://orcid.org/0000-0002-4547-2699"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikolay Tolstokulakov","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040058318","display_name":"M. E. Amelin","orcid":"https://orcid.org/0000-0002-5933-6479"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]},{"id":"https://openalex.org/I4210157294","display_name":"Federal Neurosurgical Center Novosibirsk","ror":"https://ror.org/04tmsfn31","country_code":"RU","type":"healthcare","lineage":["https://openalex.org/I4210157294"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Mihail Amelin","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Novosibirsk State University, Novosibirsk, Russia","FSBI \"Federal Neurosurgical Center\", Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"FSBI \"Federal Neurosurgical Center\", Novosibirsk, Russia","institution_ids":["https://openalex.org/I4210157294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044517357","display_name":"Sergey Golushko","orcid":"https://orcid.org/0000-0002-0207-7648"},"institutions":[{"id":"https://openalex.org/I188973947","display_name":"Novosibirsk State University","ror":"https://ror.org/04t2ss102","country_code":"RU","type":"education","lineage":["https://openalex.org/I188973947"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Golushko","raw_affiliation_strings":["Novosibirsk State University,Novosibirsk,Russia","Novosibirsk State University, Novosibirsk, Russia"],"affiliations":[{"raw_affiliation_string":"Novosibirsk State University,Novosibirsk,Russia","institution_ids":["https://openalex.org/I188973947"]},{"raw_affiliation_string":"Novosibirsk State University, Novosibirsk, Russia","institution_ids":["https://openalex.org/I188973947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035102375","display_name":"A. Yu. Letyagin","orcid":"https://orcid.org/0000-0002-9293-4083"},"institutions":[{"id":"https://openalex.org/I4210127387","display_name":"Siberian Branch of the Russian Academy of Sciences","ror":"https://ror.org/02frkq021","country_code":"RU","type":"funder","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210127387"]},{"id":"https://openalex.org/I4210160615","display_name":"Institute of Clinical and Experimental Lymphology","ror":"https://ror.org/056an8658","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210110862","https://openalex.org/I4210160615"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Letyagin","raw_affiliation_strings":["Branch of IC&G SBRAS,Research Institute of Clinical and Experimental Lymphology,Novosibirsk,Russia"],"affiliations":[{"raw_affiliation_string":"Branch of IC&G SBRAS,Research Institute of Clinical and Experimental Lymphology,Novosibirsk,Russia","institution_ids":["https://openalex.org/I4210160615","https://openalex.org/I4210127387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5020852140"],"corresponding_institution_ids":["https://openalex.org/I188973947"],"apc_list":null,"apc_paid":null,"fwci":0.6306,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5826087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9991999864578247,"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":0.7939001321792603},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7089799642562866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6861987709999084},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.621363639831543},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6020172834396362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5462217330932617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4762404263019562},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4542026221752167},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43890848755836487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35524195432662964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939001321792603},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7089799642562866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6861987709999084},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.621363639831543},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6020172834396362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5462217330932617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4762404263019562},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4542026221752167},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43890848755836487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35524195432662964},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761538","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W2735039185","https://openalex.org/W2751069891","https://openalex.org/W2792643794","https://openalex.org/W2883534172","https://openalex.org/W2900298334","https://openalex.org/W2963046541","https://openalex.org/W2979967919","https://openalex.org/W3020941848","https://openalex.org/W3028279406","https://openalex.org/W3046754750","https://openalex.org/W3092060218","https://openalex.org/W3094502228","https://openalex.org/W3105636206","https://openalex.org/W3127751679","https://openalex.org/W3142164167","https://openalex.org/W3203841574","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6739901393","https://openalex.org/W6749029207","https://openalex.org/W6755875945","https://openalex.org/W6755891590","https://openalex.org/W6777881666","https://openalex.org/W6784333009","https://openalex.org/W6785795694","https://openalex.org/W6790275670","https://openalex.org/W6791764970"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2770593030","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4315434538"],"abstract_inverted_index":{"Brain":[0,153],"tumor":[1,19,154,190],"segmentation":[2,16],"is":[3,21,56,62,162],"an":[4],"important":[5],"and":[6,33,38,65,133,149,170,189,241],"time-consuming":[7],"part":[8],"of":[9,17,71,77,87,100,125,230,238],"the":[10,27,69,75,85,90,93,98,116,123,131,142,145,185,198,204,210,217,226],"usual":[11],"clinical":[12],"diagnosis":[13],"process.":[14],"Multi-class":[15],"different":[18],"types":[20],"a":[22,52,150,236,248],"challenging":[23],"task,":[24],"due":[25],"to":[26,47,82,97,246,251],"differences":[28],"in":[29,68,112,184,222,235],"shape,":[30],"size,":[31],"location":[32],"scanner":[34],"parameters.":[35],"Many":[36],"2D":[37,60,132],"3D":[39,78,109,134,231],"convolution":[40],"neural":[41],"network":[42],"architectures":[43],"have":[44],"been":[45],"proposed":[46],"address":[48],"this":[49,127],"problem":[50],"achieving":[51],"significant":[53,227],"success.":[54],"It":[55],"well":[57,120],"known":[58],"that":[59,103,212,243],"approach":[61],"generally":[63],"faster":[64],"more":[66],"popular":[67],"most":[70,214],"such":[72],"problems.":[73],"However,":[74],"usage":[76],"models":[79],"allows":[80],"us":[81,245],"simultaneously":[83],"improve":[84],"quality":[86],"segmentation.":[88],"Accounting":[89],"context":[91],"along":[92],"sagittal":[94],"plane":[95],"leads":[96],"learning":[99,117],"3-dimensional":[101],"features":[102],"we":[104,129],"used":[105],"for":[106,209,216],"computationally":[107],"expensive":[108],"operations":[110],"what":[111],"its":[113],"turn":[114],"increases":[115],"time":[118],"as":[119,121],"decreases":[122],"speed":[124],"operation.In":[126],"paper,":[128],"compare":[130],"approaches":[135],"on":[136,197],"2":[137],"datasets":[138,179],"with":[139],"MRI":[140],"images:":[141],"one":[143],"from":[144,181],"BraTS":[146],"2020":[147],"competition":[148],"private":[151],"Siberian":[152],"dataset.":[155],"In":[156],"each":[157,182],"dataset,":[158],"any":[159],"single":[160],"scan":[161],"represented":[163],"by":[164,173,206],"4":[165],"sequences":[166],"T1,":[167],"T1C,":[168],"T2":[169],"T2-Flair,":[171],"annotated":[172],"two":[174],"certified":[175],"neuro-radiologist":[176],"specialists.":[177],"The":[178,219],"differ":[180],"other":[183],"dimension,":[186],"grade":[187],"set":[188],"type.":[191],"Numerical":[192],"comparison":[193],"was":[194],"performed":[195],"based":[196],"Dice":[199],"score":[200],"index.":[201],"We":[202],"provide":[203],"case":[205,207],"analysis":[208],"samples":[211],"caused":[213],"difficulties":[215],"models.":[218],"results":[220],"obtained":[221],"our":[223],"work":[224],"demonstrate":[225],"over":[228],"performing":[229],"methods":[232],"keeping":[233],"robustness":[234],"regard":[237],"data":[239],"source":[240],"type":[242],"allow":[244],"get":[247],"little":[249],"closer":[250],"AI-assisted":[252],"diagnosis.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}