{"id":"https://openalex.org/W4389538360","doi":"https://doi.org/10.1109/embc40787.2023.10340307","title":"An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation","display_name":"An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389538360","doi":"https://doi.org/10.1109/embc40787.2023.10340307","pmid":"https://pubmed.ncbi.nlm.nih.gov/38082949"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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":"https://openalex.org/A5067667984","display_name":"Abhishek Kumar Srivastava","orcid":"https://orcid.org/0000-0001-5345-6405"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhishek Srivastava","raw_affiliation_strings":["Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044673103","display_name":"Debesh Jha","orcid":"https://orcid.org/0000-0002-8078-6730"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debesh Jha","raw_affiliation_strings":["Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072616384","display_name":"Elif Kele\u015f","orcid":"https://orcid.org/0000-0001-8103-797X"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elif Keles","raw_affiliation_strings":["Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109935735","display_name":"Bulent Aydogan","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bulent Aydogan","raw_affiliation_strings":["University of Chicago,Department of Radiation Oncology,Chicago,IL,USA","Department of Radiation Oncology, University of Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chicago,Department of Radiation Oncology,Chicago,IL,USA","institution_ids":["https://openalex.org/I40347166"]},{"raw_affiliation_string":"Department of Radiation Oncology, University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085120914","display_name":"Mohamed E. Abazeed","orcid":"https://orcid.org/0000-0002-6614-4440"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I4210100400","display_name":"Northwestern University","ror":"https://ror.org/00m6w7z96","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210100400"]},{"id":"https://openalex.org/I4210147348","display_name":"Northwestern Medicine","ror":"https://ror.org/04fzwnh64","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210147348"]}],"countries":["PH","US"],"is_corresponding":false,"raw_author_name":"Mohamed Abazeed","raw_affiliation_strings":["Northwestern University,Department of Radiation Oncology,Chicago,IL,USA","Department of Radiation Oncology, Northwestern University, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University,Department of Radiation Oncology,Chicago,IL,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I4210100400","https://openalex.org/I4210147348"]},{"raw_affiliation_string":"Department of Radiation Oncology, Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030188696","display_name":"Ula\u015f Ba\u011fc\u0131","orcid":"https://orcid.org/0000-0001-7379-6829"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulas Bagci","raw_affiliation_strings":["Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University,Machine and Hybrid Intelligence Lab,Department of Radiology,USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Department of Radiology, Machine and Hybrid Intelligence Lab, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921","https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6158,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9053021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9977999925613403,"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":0.8331356048583984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7904297113418579},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.7388280630111694},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6371002197265625},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.6303976774215698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6146000027656555},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5196405649185181},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5061511397361755},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49164944887161255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4859689474105835},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.45354288816452026},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4465128779411316},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4424353539943695},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4335973262786865},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42983880639076233},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4177160859107971}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8331356048583984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904297113418579},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.7388280630111694},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6371002197265625},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.6303976774215698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6146000027656555},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5196405649185181},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5061511397361755},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49164944887161255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4859689474105835},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.45354288816452026},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4465128779411316},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4424353539943695},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4335973262786865},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42983880639076233},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4177160859107971},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38082949","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38082949","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":[{"id":"https://openalex.org/G1611661164","display_name":null,"funder_award_id":"R01 CA240639","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G7720591315","display_name":null,"funder_award_id":"R01 CA246704","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2560725027","https://openalex.org/W2798122215","https://openalex.org/W2962914239","https://openalex.org/W3009563704","https://openalex.org/W3014974815","https://openalex.org/W3094502228","https://openalex.org/W3097510987","https://openalex.org/W3108244608","https://openalex.org/W3112701542","https://openalex.org/W3127751679","https://openalex.org/W3162386519","https://openalex.org/W3176105142","https://openalex.org/W3217367518","https://openalex.org/W4212783912","https://openalex.org/W4212875960","https://openalex.org/W4221163766","https://openalex.org/W4312726009","https://openalex.org/W6639824700","https://openalex.org/W6750469568","https://openalex.org/W6777983745","https://openalex.org/W6784333009","https://openalex.org/W6790275670"],"related_works":["https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W3144569342","https://openalex.org/W4254054209","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W4200334192","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,48,75,132,137,201],"of":[2,158,170,183,188,196],"organs-at-risks":[3],"(OARs)":[4],"is":[5,34,97,108,205],"a":[6,21,72,116,180],"precursor":[7],"for":[8,24,87],"optimizing":[9],"radiation":[10],"therapy":[11],"planning.":[12],"Existing":[13],"deep":[14],"learning-based":[15],"multi-scale":[16,51,81,106],"fusion":[17,52],"architectures":[18,53],"have":[19],"demonstrated":[20],"tremendous":[22],"capacity":[23],"2D":[25],"medical":[26],"image":[27],"segmentation.":[28,156],"The":[29,123],"key":[30],"to":[31,57,110],"their":[32,58],"success":[33],"aggregating":[35],"global":[36],"context":[37,90],"and":[38,62,83,105,153,163,185,193],"maintaining":[39],"high":[40],"resolution":[41,95,103],"representations.":[42],"However,":[43],"when":[44],"translated":[45],"into":[46],"3D":[47],"problems,":[49],"existing":[50],"might":[54],"underperform":[55],"due":[56],"heavy":[59],"computation":[60],"overhead":[61],"substantial":[63],"data":[64],"diet.":[65],"To":[66],"address":[67],"this":[68],"issue,":[69],"we":[70],"propose":[71],"new":[73],"OAR":[74,131],"framework,":[76],"called":[77],"OARFocalFuseNet,":[78],"which":[79],"fuses":[80],"features":[82,100],"employs":[84],"focal":[85],"modulation":[86],"capturing":[88],"global-local":[89],"across":[91],"multiple":[92],"scales.":[93],"Each":[94],"stream":[96],"enriched":[98],"with":[99,130],"from":[101],"different":[102],"scales,":[104],"information":[107],"aggregated":[109],"model":[111],"diverse":[112],"contextual":[113],"ranges.":[114],"As":[115],"result,":[117],"feature":[118],"representations":[119],"are":[120],"further":[121],"boosted.":[122],"comprehensive":[124],"comparisons":[125],"in":[126,168],"our":[127,140],"experimental":[128],"setup":[129],"as":[133,135],"well":[134],"multi-organ":[136,155,200],"show":[138],"that":[139],"proposed":[141,160],"OARFocalFuseNet":[142],"outperforms":[143],"the":[144,159],"recent":[145],"state-of-the-art":[146],"methods":[147,161],"on":[148,190,198],"publicly":[149],"available":[150,206],"OpenKBP":[151,191],"datasets":[152,192],"Synapse":[154,199],"Both":[157],"(3D-MSF":[162],"OARFocalFuseNet)":[164],"showed":[165],"promising":[166],"performance":[167],"terms":[169],"standard":[171],"evaluation":[172],"metrics.":[173],"Our":[174,203],"best":[175],"performing":[176],"method":[177],"(OARFocalFuseNet)":[178],"obtained":[179],"dice":[181,194],"coefficient":[182,195],"0.7995":[184],"hausdorff":[186],"distance":[187],"5.1435":[189],"0.8137":[197],"dataset.":[202],"code":[204],"at":[207],"https://github.com/NoviceMAn-prog/OARFocalFuse.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
