{"id":"https://openalex.org/W4415428891","doi":"https://doi.org/10.3233/faia250871","title":"Beyond Slice-by-Slice: 3D Lesion Segmentation via Cross-Frame Prediction","display_name":"Beyond Slice-by-Slice: 3D Lesion Segmentation via Cross-Frame Prediction","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428891","doi":"https://doi.org/10.3233/faia250871"},"language":null,"primary_location":{"id":"doi:10.3233/faia250871","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia250871","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia250871","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081832999","display_name":"Hongpeng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongpeng Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077767559","display_name":"Yingxin Chen","orcid":"https://orcid.org/0000-0001-9372-8479"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxin Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045531598","display_name":"Xiangyu Hu","orcid":"https://orcid.org/0000-0002-1599-5667"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangyu Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070972371","display_name":"Srihari Nelakuditi","orcid":"https://orcid.org/0000-0001-5990-394X"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srihari Nelakuditi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101648810","display_name":"Yan Tong","orcid":"https://orcid.org/0000-0003-4847-2405"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Tong","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011505829","display_name":"Shiqiang Ma","orcid":"https://orcid.org/0009-0004-2329-5873"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqiang Ma","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112879504","display_name":"Fei Guo","orcid":"https://orcid.org/0000-0002-9279-9547"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Guo","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5081832999"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68220742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9970999956130981,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9850000143051147,"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/T10862","display_name":"AI in cancer detection","score":0.9811000227928162,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8098999857902527},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5322999954223633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46709999442100525},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.3921999931335449},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.38440001010894775},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.3799999952316284},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.3617999851703644}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8098999857902527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7346000075340271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339000105857849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5406000018119812},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5322999954223633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.38440001010894775},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia250871","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia250871","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia250871","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia250871","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Three-dimensional":[0],"medical":[1,33],"image":[2],"segmentation":[3,39,52,84,141],"plays":[4],"a":[5,68,148],"significant":[6],"role":[7],"in":[8],"clinical":[9,156],"diagnosis,":[10],"treatment":[11],"planning,":[12],"and":[13,23,26,30,47,101],"disease":[14],"research,":[15],"as":[16],"it":[17],"provides":[18],"doctors":[19],"with":[20],"precise":[21],"anatomical":[22,127],"lesion":[24,74,112,133],"information":[25],"improves":[27],"the":[28,118],"accuracy":[29],"efficiency":[31],"of":[32,154],"decision-making.":[34],"However,":[35],"most":[36],"existing":[37],"3D":[38,56],"approaches":[40],"rely":[41],"heavily":[42],"on":[43,120,131],"densely":[44],"volumetric":[45],"data":[46],"often":[48],"fail":[49],"to":[50,71,108,151],"perform":[51],"properly":[53],"for":[54],"incomplete":[55,155],"volume":[57],"acquisition,":[58],"i.e.,":[59],"missing":[60,111],"slices.":[61],"In":[62],"this":[63],"work,":[64],"we":[65],"present":[66],"InterFrameNet,":[67],"framework":[69],"designed":[70],"predict":[72],"intermediate":[73],"structures":[75],"by":[76],"modeling":[77],"spatial":[78,99],"relationships":[79,104],"across":[80],"frames,":[81],"enabling":[82],"robust":[83,140],"performance":[85,142],"under":[86,143],"sparse":[87,144],"acquisition":[88,145],"conditions,":[89],"without":[90],"requiring":[91],"full-volume":[92],"information.":[93,128],"Our":[94],"method":[95],"explicitly":[96],"models":[97],"cross-frame":[98],"continuity":[100],"leverages":[102],"structural":[103],"between":[105],"available":[106],"frames":[107,122],"accurately":[109],"infer":[110],"regions.":[113],"This":[114],"design":[115],"significantly":[116],"reduces":[117],"dependence":[119],"consecutive":[121],"while":[123],"fully":[124],"exploiting":[125],"contextual":[126],"Extensive":[129],"experiments":[130],"brain":[132],"datasets":[134],"demonstrate":[135],"that":[136],"our":[137],"approach":[138],"achieves":[139],"settings,":[146],"offering":[147],"practical":[149],"solution":[150],"maximize":[152],"usability":[153],"imaging":[157],"data.":[158]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-24T00:00:00"}