{"id":"https://openalex.org/W4414117000","doi":"https://doi.org/10.1109/fuzz62266.2025.11152123","title":"An Explainable Brain Tumor Classification System based on Fuzzy Decision Trees","display_name":"An Explainable Brain Tumor Classification System based on Fuzzy Decision Trees","publication_year":2025,"publication_date":"2025-07-06","ids":{"openalex":"https://openalex.org/W4414117000","doi":"https://doi.org/10.1109/fuzz62266.2025.11152123"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz62266.2025.11152123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5050435146","display_name":"Pietro Ducange","orcid":"https://orcid.org/0000-0003-4510-1350"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Pietro Ducange","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028921700","display_name":"Michela Fazzolari","orcid":"https://orcid.org/0000-0002-8562-6904"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michela Fazzolari","raw_affiliation_strings":["National Research Council - Institute of Informatics and Telematics,Pisa,Italy,56124"],"affiliations":[{"raw_affiliation_string":"National Research Council - Institute of Informatics and Telematics,Pisa,Italy,56124","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057031606","display_name":"Francesco Marcelloni","orcid":"https://orcid.org/0000-0002-5895-876X"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Marcelloni","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107079837","display_name":"Giustino Claudio Miglionico","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giustino Claudio Miglionico","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101747733","display_name":"F. Ruffini","orcid":"https://orcid.org/0000-0001-6328-4360"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizio Ruffini","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy,56122"],"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy,56122","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050435146"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31657363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.993399977684021,"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/T10862","display_name":"AI in cancer detection","score":0.9914000034332275,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5902000069618225},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5669000148773193},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5486999750137329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4000999927520752},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37070000171661377}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6858999729156494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187000274658203},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5669000148773193},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4758000075817108},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.32190001010894775},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.29440000653266907},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.2921999990940094}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz62266.2025.11152123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1325068","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1325068","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2182098131","https://openalex.org/W2565966100","https://openalex.org/W2981731882","https://openalex.org/W2998789541","https://openalex.org/W3029530394","https://openalex.org/W3040617750","https://openalex.org/W3045086986","https://openalex.org/W3205076722","https://openalex.org/W4291511624","https://openalex.org/W4297499586","https://openalex.org/W4311064129","https://openalex.org/W4312180618","https://openalex.org/W4376629768","https://openalex.org/W4386248426","https://openalex.org/W4391305681","https://openalex.org/W4393218842","https://openalex.org/W4404213029","https://openalex.org/W4404667245","https://openalex.org/W4406567797","https://openalex.org/W4406567872"],"related_works":["https://openalex.org/W3134840015","https://openalex.org/W4384470695","https://openalex.org/W2146681077","https://openalex.org/W2093519970","https://openalex.org/W2389502773","https://openalex.org/W2380049256","https://openalex.org/W2373541381","https://openalex.org/W2383117642","https://openalex.org/W3191877725","https://openalex.org/W787402332"],"abstract_inverted_index":{"Brain":[0],"Tumor":[1],"Classification":[2],"(BTC)":[3],"using":[4],"Magnetic":[5],"Resonance":[6],"Imaging":[7],"(MRI)":[8],"has":[9,50],"seen":[10],"significant":[11],"advancements":[12],"with":[13,66],"the":[14,27,41,54,67,109],"adoption":[15],"of":[16,30,56,69,95],"Deep":[17],"Learning":[18],"(DL)":[19],"models,":[20,85],"particularly":[21],"Convolutional":[22],"Neural":[23],"Networks":[24],"(CNNs).":[25],"However,":[26],"black-box":[28],"nature":[29],"these":[31],"models":[32],"raises":[33],"concerns":[34],"regarding":[35],"explainability,":[36],"which":[37],"is":[38],"crucial":[39],"in":[40,48],"healthcare":[42],"domain.":[43],"For":[44],"this":[45],"reason,":[46],"research":[47],"BTC":[49],"increasingly":[51],"focused":[52],"on":[53,82],"application":[55],"Explainable":[57],"Artificial":[58],"Intelligence":[59],"(XAI)":[60],"techniques,":[61],"mainly":[62],"through":[63],"post-hoc":[64,112],"methods,":[65],"aim":[68],"providing":[70],"insights":[71],"into":[72],"model":[73],"decisions.":[74],"This":[75],"work":[76],"explores":[77],"an":[78],"alternative":[79],"approach":[80],"based":[81],"inherently":[83],"interpretable":[84],"specifically":[86],"Fuzzy":[87],"Decision":[88],"Trees":[89],"(FDTs).":[90],"We":[91],"analyze":[92],"different":[93],"types":[94],"FDTs,":[96],"showing":[97],"that":[98],"they":[99],"achieve":[100],"good":[101],"performance":[102],"while":[103],"ensuring":[104],"high":[105],"explainability":[106],"levels,":[107],"without":[108],"need":[110],"for":[111],"explanations.":[113]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
