{"id":"https://openalex.org/W4402547632","doi":"https://doi.org/10.1007/s11548-024-03262-4","title":"Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation","display_name":"Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation","publication_year":2024,"publication_date":"2024-09-14","ids":{"openalex":"https://openalex.org/W4402547632","doi":"https://doi.org/10.1007/s11548-024-03262-4","pmid":"https://pubmed.ncbi.nlm.nih.gov/39271574"},"language":"en","primary_location":{"id":"doi:10.1007/s11548-024-03262-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-024-03262-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-024-03262-4.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-024-03262-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091328277","display_name":"Sayantan Bhadra","orcid":"https://orcid.org/0000-0001-8321-1142"},"institutions":[{"id":"https://openalex.org/I4210155647","display_name":"National Institutes of Health Clinical Center","ror":"https://ror.org/04vfsmv21","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210155647"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sayantan Bhadra","raw_affiliation_strings":["Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, 20892, Maryland, USA"],"raw_orcid":"https://orcid.org/0000-0001-8321-1142","affiliations":[{"raw_affiliation_string":"Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, 20892, Maryland, USA","institution_ids":["https://openalex.org/I4210155647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543443","display_name":"Jianfei Liu","orcid":"https://orcid.org/0000-0001-9885-1695"},"institutions":[{"id":"https://openalex.org/I4210155647","display_name":"National Institutes of Health Clinical Center","ror":"https://ror.org/04vfsmv21","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210155647"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianfei Liu","raw_affiliation_strings":["Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, 20892, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, 20892, Maryland, USA","institution_ids":["https://openalex.org/I4210155647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016047550","display_name":"Ronald M. Summers","orcid":"https://orcid.org/0000-0001-8081-7376"},"institutions":[{"id":"https://openalex.org/I4210155647","display_name":"National Institutes of Health Clinical Center","ror":"https://ror.org/04vfsmv21","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210155647"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald M. Summers","raw_affiliation_strings":["Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, 20892, Maryland, USA. rsummers@cc.nih.gov"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, 20892, Maryland, USA. rsummers@cc.nih.gov","institution_ids":["https://openalex.org/I4210155647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091328277"],"corresponding_institution_ids":["https://openalex.org/I4210155647"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":0.5102,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70570488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"20","issue":"1","first_page":"89","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11469","display_name":"Lymphatic System and Diseases","score":0.26260000467300415,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T11469","display_name":"Lymphatic System and Diseases","score":0.26260000467300415,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.1696999967098236,"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/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.10360000282526016,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/edema","display_name":"Edema","score":0.6487693190574646},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6177146434783936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5137894749641418},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4666229486465454},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4197791814804077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39441370964050293},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14759093523025513}],"concepts":[{"id":"https://openalex.org/C2780886150","wikidata":"https://www.wikidata.org/wiki/Q152234","display_name":"Edema","level":2,"score":0.6487693190574646},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6177146434783936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5137894749641418},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4666229486465454},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4197791814804077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39441370964050293},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14759093523025513}],"mesh":[{"descriptor_ui":"D004487","descriptor_name":"Edema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004487","descriptor_name":"Edema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004487","descriptor_name":"Edema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004487","descriptor_name":"Edema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004487","descriptor_name":"Edema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004487","descriptor_name":"Edema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004487","descriptor_name":"Edema","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011860","descriptor_name":"Radiography, Abdominal","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":"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}],"locations_count":3,"locations":[{"id":"doi:10.1007/s11548-024-03262-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-024-03262-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-024-03262-4.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},{"id":"pmid:39271574","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39271574","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":"International journal of computer assisted radiology and surgery","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11757642","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11757642","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11757642/pdf/11548_2024_Article_3262.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Assist Radiol Surg","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11548-024-03262-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-024-03262-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-024-03262-4.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7574911341","display_name":null,"funder_award_id":"1Z01 CL040004","funder_id":"https://openalex.org/F4320337376","funder_display_name":"NIH Clinical Center"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337376","display_name":"NIH Clinical Center","ror":"https://ror.org/04vfsmv21"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402547632.pdf","grobid_xml":"https://content.openalex.org/works/W4402547632.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2005233497","https://openalex.org/W2014081054","https://openalex.org/W2116040950","https://openalex.org/W2164751492","https://openalex.org/W2221898772","https://openalex.org/W2586917536","https://openalex.org/W2766424785","https://openalex.org/W2798753173","https://openalex.org/W2799738340","https://openalex.org/W2963073614","https://openalex.org/W3003257820","https://openalex.org/W3014974815","https://openalex.org/W3081849094","https://openalex.org/W3103145119","https://openalex.org/W3112701542","https://openalex.org/W3206313898","https://openalex.org/W4241566107","https://openalex.org/W4291238401","https://openalex.org/W4294495392","https://openalex.org/W4353015179","https://openalex.org/W4383218413","https://openalex.org/W4387422474","https://openalex.org/W4390938167","https://openalex.org/W4391756091","https://openalex.org/W4395661832","https://openalex.org/W4396852497","https://openalex.org/W4396919954","https://openalex.org/W4397014795","https://openalex.org/W4399873156","https://openalex.org/W4403067601"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W1489783725","https://openalex.org/W2148612803"],"abstract_inverted_index":{"Abstract":[0],"Purpose:":[1],"Anasarca":[2],"is":[3,59,232,263],"a":[4,78,133,201],"condition":[5],"that":[6,253],"results":[7],"from":[8,89,179],"organ":[9],"dysfunctions,":[10],"such":[11],"as":[12,105,114],"heart,":[13],"kidney,":[14],"or":[15],"liver":[16],"failure,":[17],"characterized":[18],"by":[19],"the":[20,25,43,63,69,90,115,147,169,173],"presence":[21],"of":[22,29,45,66,71,102,136,146],"edema":[23,31,46,57,67,83,87,95,239,246,250,273],"throughout":[24],"body.":[26],"The":[27,141,260],"quantification":[28],"accumulated":[30],"may":[32],"have":[33],"potential":[34],"clinical":[35,266],"benefits.":[36],"This":[37],"work":[38],"focuses":[39],"on":[40,132],"accurately":[41],"estimating":[42],"amount":[44],"non-invasively":[47],"using":[48,85,122,197,225,271],"abdominal":[49],"CT":[50],"scans,":[51],"with":[52,100,139,204,241,257],"minimal":[53,242],"false":[54,243],"positives.":[55,244],"However,":[56,168],"segmentation":[58,84,96,116,130,199,240,247],"challenging":[60],"due":[61],"to":[62,152,181,236,268],"complex":[64],"appearance":[65],"and":[68,118,229],"lack":[70],"manually":[72],"annotated":[73],"volumes.":[74,274],"Methods:":[75],"We":[76,128],"propose":[77],"weakly":[79],"supervised":[80,223],"approach":[81,262],"for":[82,94,265],"initial":[86],"labels":[88,101,228],"current":[91],"state-of-the-art":[92],"method":[93,149,171],"(Intensity":[97],"Prior),":[98],"along":[99],"surrounding":[103],"tissues":[104],"anatomical":[106],"priors.":[107],"A":[108],"multi-class":[109,227],"3D":[110,226],"nnU-Net":[111],"was":[112,120,150],"employed":[113],"network,":[117],"training":[119],"performed":[121],"an":[123,233],"iterative":[124,230],"annotation":[125,206,231],"workflow.":[126],"Results:":[127],"evaluated":[129],"accuracy":[131],"test":[134],"set":[135],"25":[137],"patients":[138],"edema.":[140],"average":[142,174],"Dice":[143],"Similarity":[144],"Coefficient":[145],"proposed":[148,170,261],"similar":[151],"Intensity":[153],"Prior":[154],"(61.5%":[155],"vs.":[156],"61.7%;":[157],"$$p=0.83$$":[158],"<mml:math":[159,185,209],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[160,186,210],"<mml:mrow>":[161,187,211],"<mml:mi>p</mml:mi>":[162,188],"<mml:mo>=</mml:mo>":[163,216],"<mml:mn>0.83</mml:mn>":[164],"</mml:mrow>":[165,191,218],"</mml:math>":[166,192,219],").":[167,193,220],"reduced":[172],"False":[175],"Positive":[176],"Rate":[177],"significantly,":[178],"1.8%":[180],"1.1%":[182],"(":[183,207],"$$p&lt;0.001$$":[184],"<mml:mo>&lt;</mml:mo>":[189],"<mml:mn>0.001</mml:mn>":[190],"Edema":[194],"volumes":[195],"computed":[196],"automated":[198],"had":[200],"strong":[202],"correlation":[203],"manual":[205,258],"$$R^2=0.87$$":[208],"<mml:msup>":[212],"<mml:mi>R</mml:mi>":[213],"<mml:mn>2</mml:mn>":[214],"</mml:msup>":[215],"<mml:mn>0.87</mml:mn>":[217],"Conclusion:":[221],"Weakly":[222],"learning":[224],"efficient":[234],"way":[235],"perform":[237],"high-quality":[238],"Automated":[245],"can":[248],"produce":[249],"volume":[251],"estimates":[252],"are":[254],"highly":[255],"correlated":[256],"annotation.":[259],"promising":[264],"applications":[267],"monitor":[269],"anasarca":[270],"estimated":[272]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-18T08:16:58.900851","created_date":"2025-10-10T00:00:00"}