{"id":"https://openalex.org/W7128007859","doi":"https://doi.org/10.48550/arxiv.2602.05515","title":"A Unified Multimodal Framework for Dataset Construction and Model-Based Diagnosis of Ameloblastoma","display_name":"A Unified Multimodal Framework for Dataset Construction and Model-Based Diagnosis of Ameloblastoma","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7128007859","doi":"https://doi.org/10.48550/arxiv.2602.05515"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.05515","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123008402","display_name":"Ajo Babu George","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"George, Ajo Babu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124113296","display_name":"Anna Mariam John","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John, Anna Mariam","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125189198","display_name":"Athul Anoop","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anoop, Athul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050726436","display_name":"Balu Bhasuran","orcid":"https://orcid.org/0000-0002-9890-4627"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhasuran, Balu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5123008402"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11787","display_name":"Oral and Maxillofacial Pathology","score":0.8296999931335449,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11787","display_name":"Oral and Maxillofacial Pathology","score":0.8296999931335449,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.05090000107884407,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11669","display_name":"Head and Neck Surgical Oncology","score":0.010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/preprocessor","display_name":"Preprocessor","score":0.6391000151634216},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.546999990940094},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41909998655319214},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.3788999915122986},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.33799999952316284},{"id":"https://openalex.org/keywords/ameloblastoma","display_name":"Ameloblastoma","score":0.3325999975204468},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.30970001220703125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852999925613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754999756813049},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6391000151634216},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.546999990940094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.430400013923645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C2775876115","wikidata":"https://www.wikidata.org/wiki/Q461857","display_name":"Ameloblastoma","level":3,"score":0.3325999975204468},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28600001335144043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2824000120162964},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26100000739097595}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.05515","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.05515","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.05515","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.05515","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.6056069135665894,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)-enabled":[2],"diagnostics":[3],"in":[4],"maxillofacial":[5],"pathology":[6],"require":[7],"structured,":[8],"high-quality":[9],"multimodal":[10,34,82,171],"datasets.":[11],"However,":[12],"existing":[13],"resources":[14,153],"provide":[15],"limited":[16],"ameloblastoma":[17,90],"coverage":[18],"and":[19,44,76,99,116,139,168],"lack":[20],"the":[21],"format":[22],"consistency":[23],"needed":[24],"for":[25],"direct":[26],"model":[27,85,104],"training.":[28],"We":[29],"present":[30],"a":[31,81,165],"newly":[32],"curated":[33],"dataset":[35,167],"specifically":[36],"focused":[37],"on":[38],"ameloblastoma,":[39],"integrating":[40],"annotated":[41],"radiological,":[42],"histopathological,":[43],"intraoral":[45],"clinical":[46,109],"images":[47],"with":[48],"structured":[49],"data":[50,71],"derived":[51],"from":[52,66,133,145],"case":[53],"reports.":[54],"Natural":[55],"language":[56],"processing":[57],"techniques":[58],"were":[59],"employed":[60],"to":[61,88,107,120,136,148],"extract":[62],"clinically":[63],"relevant":[64],"features":[65],"textual":[67],"reports,":[68],"while":[69],"image":[70],"underwent":[72],"domain":[73],"specific":[74],"preprocessing":[75],"augmentation.":[77],"Using":[78],"this":[79,156],"dataset,":[80],"deep":[83],"learning":[84],"was":[86],"developed":[87],"classify":[89],"variants,":[91],"assess":[92],"behavioral":[93],"patterns":[94],"such":[95,111],"as":[96,112],"recurrence":[97],"risk,":[98],"support":[100,161],"surgical":[101],"planning.":[102],"The":[103],"is":[105],"designed":[106],"accept":[108],"inputs":[110],"presenting":[113],"complaint,":[114],"age,":[115],"gender":[117],"during":[118],"deployment":[119],"enhance":[121],"personalized":[122],"inference.":[123],"Quantitative":[124],"evaluation":[125],"demonstrated":[126],"substantial":[127],"improvements;":[128],"variant":[129],"classification":[130],"accuracy":[131],"increased":[132],"46.2":[134],"percent":[135,147],"65.9":[137],"percent,":[138],"abnormal":[140],"tissue":[141],"detection":[142],"F1-score":[143],"improved":[144],"43.0":[146],"90.3":[149],"percent.":[150],"Benchmarked":[151],"against":[152],"like":[154],"MultiCaRe,":[155],"work":[157],"advances":[158],"patient-specific":[159],"decision":[160],"by":[162],"providing":[163],"both":[164],"robust":[166],"an":[169],"adaptable":[170],"AI":[172],"framework.":[173]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-07T00:00:00"}