{"id":"https://openalex.org/W4398151076","doi":"https://doi.org/10.1109/tai.2024.3397246","title":"Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation","display_name":"Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4398151076","doi":"https://doi.org/10.1109/tai.2024.3397246"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3397246","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tai.2024.3397246","pdf_url":"https://ieeexplore.ieee.org/ielx7/9078688/9184921/10535471.pdf","source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/9078688/9184921/10535471.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031057407","display_name":"Michela Gravina","orcid":"https://orcid.org/0000-0001-5033-9617"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michela Gravina","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5033-9617","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066560541","display_name":"Domiziana Santucci","orcid":null},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domiziana Santucci","raw_affiliation_strings":["Department of Radiology, University of Rome Campus Bio-Medico, Rome, Italy","Department of Radiology, University of Rome \"Campus Bio-Medico\", Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4903-8715","affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Rome Campus Bio-Medico, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]},{"raw_affiliation_string":"Department of Radiology, University of Rome \"Campus Bio-Medico\", Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042081469","display_name":"Ermanno Cordelli","orcid":"https://orcid.org/0000-0001-6062-7575"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ermanno Cordelli","raw_affiliation_strings":["Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome Campus Bio-Medico, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6062-7575","affiliations":[{"raw_affiliation_string":"Unit of Computer Systems and Bioinformatics, Department of Engineering, University of Rome Campus Bio-Medico, Rome, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003216983","display_name":"Paolo Soda","orcid":"https://orcid.org/0000-0003-2621-072X"},"institutions":[{"id":"https://openalex.org/I155125353","display_name":"Universit\u00e0 Campus Bio-Medico","ror":"https://ror.org/04gqx4x78","country_code":"IT","type":"education","lineage":["https://openalex.org/I155125353"]},{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["IT","SE"],"is_corresponding":false,"raw_author_name":"Paolo Soda","raw_affiliation_strings":["Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umea University, Umea, Sweden","Unit of Computer Systems and Bioinformatics, Dept. of Engineering, University of Rome Campus Bio-Medico, Roma, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2621-072X","affiliations":[{"raw_affiliation_string":"Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering, Umea University, Umea, Sweden","institution_ids":["https://openalex.org/I90267481"]},{"raw_affiliation_string":"Unit of Computer Systems and Bioinformatics, Dept. of Engineering, University of Rome Campus Bio-Medico, Roma, Italy","institution_ids":["https://openalex.org/I155125353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090709130","display_name":"Carlo Sansone","orcid":"https://orcid.org/0000-0002-8176-6950"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Sansone","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8176-6950","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031057407"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.9934,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78941099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"5","issue":"9","first_page":"4823","last_page":"4836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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":0.7592147588729858},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7158216238021851},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6254450082778931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5481458306312561},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5175520777702332},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5113305449485779},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43709221482276917},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4214562475681305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39070671796798706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3842758536338806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592147588729858},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7158216238021851},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6254450082778931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5481458306312561},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5175520777702332},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5113305449485779},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43709221482276917},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4214562475681305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39070671796798706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3842758536338806},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tai.2024.3397246","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tai.2024.3397246","pdf_url":"https://ieeexplore.ieee.org/ielx7/9078688/9184921/10535471.pdf","source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:umu-225519","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-225519","pdf_url":"https://umu.diva-portal.org/smash/get/diva2:1864973/FULLTEXT02","source":{"id":"https://openalex.org/S4306400361","display_name":"DiVA at Ume\u00e5 University (Ume\u00e5 University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I90267481","host_organization_name":"Ume\u00e5 University","host_organization_lineage":["https://openalex.org/I90267481"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1109/tai.2024.3397246","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tai.2024.3397246","pdf_url":"https://ieeexplore.ieee.org/ielx7/9078688/9184921/10535471.pdf","source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2317626667","display_name":null,"funder_award_id":"F/130096/01-05/X38","funder_id":"https://openalex.org/F4320324632","funder_display_name":"Ministero dello Sviluppo Economico"},{"id":"https://openalex.org/G29840918","display_name":null,"funder_award_id":"PE0000013-FAIR","funder_id":"https://openalex.org/F4320331528","funder_display_name":"Ministero dell'Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320324632","display_name":"Ministero dello Sviluppo Economico","ror":"https://ror.org/011z3ff80"},{"id":"https://openalex.org/F4320331528","display_name":"Ministero dell'Universit\u00e0 e della Ricerca","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4398151076.pdf"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1539811621","https://openalex.org/W1572411245","https://openalex.org/W1687542094","https://openalex.org/W1974276084","https://openalex.org/W2016053056","https://openalex.org/W2038420319","https://openalex.org/W2053101950","https://openalex.org/W2067797965","https://openalex.org/W2079655528","https://openalex.org/W2108598243","https://openalex.org/W2149319883","https://openalex.org/W2194775991","https://openalex.org/W2251394420","https://openalex.org/W2344545759","https://openalex.org/W2549139847","https://openalex.org/W2731899572","https://openalex.org/W2747930650","https://openalex.org/W2751686900","https://openalex.org/W2752782242","https://openalex.org/W2767290858","https://openalex.org/W2805783416","https://openalex.org/W2889261422","https://openalex.org/W2900954917","https://openalex.org/W2914584363","https://openalex.org/W2922437814","https://openalex.org/W2929753309","https://openalex.org/W2941490313","https://openalex.org/W2962413031","https://openalex.org/W2962850006","https://openalex.org/W2963192057","https://openalex.org/W2963446712","https://openalex.org/W2964010806","https://openalex.org/W2964378789","https://openalex.org/W2964656561","https://openalex.org/W2979078804","https://openalex.org/W2979617563","https://openalex.org/W2996092187","https://openalex.org/W3006104185","https://openalex.org/W3007486523","https://openalex.org/W3028918987","https://openalex.org/W3035570025","https://openalex.org/W3080515170","https://openalex.org/W3082946924","https://openalex.org/W3083699157","https://openalex.org/W3086361296","https://openalex.org/W3089829405","https://openalex.org/W3092968006","https://openalex.org/W3126442124","https://openalex.org/W3130587675","https://openalex.org/W3134909147","https://openalex.org/W3137192559","https://openalex.org/W3162870502","https://openalex.org/W3177896729","https://openalex.org/W3178621454","https://openalex.org/W3201475292","https://openalex.org/W3206375534","https://openalex.org/W3210770785","https://openalex.org/W4200086658","https://openalex.org/W4206042814","https://openalex.org/W4210376885","https://openalex.org/W4210385745","https://openalex.org/W4226243692","https://openalex.org/W4293799841","https://openalex.org/W4296897713","https://openalex.org/W4304203226","https://openalex.org/W4311120755","https://openalex.org/W4312646804","https://openalex.org/W4323657311","https://openalex.org/W4360991725","https://openalex.org/W4366482244","https://openalex.org/W4385295434","https://openalex.org/W4386130892","https://openalex.org/W4387843810","https://openalex.org/W6638444622","https://openalex.org/W6752162782","https://openalex.org/W6761274798"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,14,20,44,54,66,107,132,139,146,209,229],"deep":[3],"neural":[4],"networks":[5],"(DNNs)":[6],"in":[7,70,82,157,217,247],"medical":[8],"images":[9,181],"has":[10,49],"enabled":[11],"the":[12,18,28,52,64,67,75,88,105,129,133,137,140,151,194,207,210,215,218,238,248],"development":[13],"solutions":[15],"characterized":[16],"by":[17,213],"need":[19],"leveraging":[21],"information":[22],"coming":[23,109],"from":[24,110],"multiple":[25,111],"sources,":[26],"raising":[27],"Multimodal":[29],"Deep":[30],"Learning.":[31],"DNNs":[32],"are":[33],"known":[34],"for":[35],"their":[36],"ability":[37],"to":[38,51,77,103,118,127,225],"provide":[39],"hierarchical":[40],"and":[41,187,202,227,231],"high-level":[42],"representations":[43],"input":[45],"data.":[46],"This":[47],"capability":[48],"led":[50],"introduction":[53],"methods":[55],"performing":[56],"data":[57,93,108],"fusion":[58,244],"at":[59],"an":[60,79,95],"intermediate":[61],"level,":[62],"preserving":[63],"distinctiveness":[65],"heterogeneous":[68],"sources":[69],"modality-specific":[71,120],"paths,":[72],"while":[73],"learning":[74],"way":[76],"define":[78],"effective":[80],"combination":[81],"a":[83,122,161,170],"shared":[84],"representation.":[85],"However,":[86],"modeling":[87],"intricate":[89],"relationships":[90],"between":[91,115],"different":[92,119],"remains":[94],"open":[96],"issue.":[97],"In":[98,190],"this":[99],"paper,":[100],"we":[101,148,192],"aim":[102],"improve":[104],"integration":[106],"sources.":[112],"We":[113,168],"introduce":[114],"layers":[116],"belonging":[117],"paths":[121],"Transfer":[123],"Module":[124],"(TM)":[125],"able":[126],"perform":[128],"cross-modality":[130],"calibration":[131],"extracted":[134],"features,":[135],"reducing":[136],"effects":[138],"less":[141],"discriminative":[142],"ones.":[143],"As":[144],"case":[145],"study,":[147],"focus":[149],"on":[150],"axillary":[152],"lymph":[153],"nodes":[154],"metastasis":[155],"evaluation":[156],"malignant":[158],"breast":[159],"cancer,":[160],"crucial":[162],"prognostic":[163],"factor,":[164],"affecting":[165],"patient\u2019s":[166],"survival.":[167],"propose":[169],"Multi-Input":[171],"Single-Output":[172],"3D":[173],"Convolutional":[174],"Neural":[175],"Network":[176],"(CNN)":[177],"that":[178],"considers":[179],"both":[180],"acquired":[182],"with":[183],"multiparametric":[184],"Magnetic":[185],"Resonance":[186],"clinical":[188],"information.":[189],"particular,":[191],"assess":[193],"proposed":[195,246],"methodology":[196],"using":[197],"four":[198],"architectures,":[199],"namely":[200],"BasicNet":[201],"three":[203],"ResNet":[204],"variants,":[205],"showing":[206],"improvement":[208],"performance":[211],"obtained":[212],"including":[214],"TM":[216],"network":[219],"configuration.":[220],"Our":[221],"results":[222],"achieve":[223],"up":[224],"90%":[226],"87%":[228],"accuracy":[230],"Area":[232],"under":[233],"ROC":[234],"curve,":[235],"respectively":[236],"when":[237],"ResNet10":[239],"is":[240],"considered,":[241],"surpassing":[242],"various":[243],"strategies":[245],"literature.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}