{"id":"https://openalex.org/W7224416696","doi":"https://doi.org/10.1371/journal.pone.0361135","title":"A method for brain tumor detection and localization by means of deep learning and reliable prediction explainability","display_name":"A method for brain tumor detection and localization by means of deep learning and reliable prediction explainability","publication_year":2026,"publication_date":"2026-10-29","ids":{"openalex":"https://openalex.org/W7224416696","doi":"https://doi.org/10.1371/journal.pone.0361135","pmid":"https://pubmed.ncbi.nlm.nih.gov/42956083","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13719022"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pone.0361135","doi":"https://doi.org/10.1371/journal.pone.0361135","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0361135","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0361135&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS One","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0361135&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022744865","display_name":"Marcello Di Giammarco","orcid":"https://orcid.org/0009-0000-3314-7269","observed_orcids":["https://orcid.org/0009-0000-3314-7269"]},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marcello Di Giammarco","raw_affiliation_strings":["National Research Council of Italy (CNR)"],"raw_orcid":"https://orcid.org/0009-0000-3314-7269","affiliations":[{"raw_affiliation_string":"National Research Council of Italy (CNR)","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004599844","display_name":"Antonella Santone","orcid":"https://orcid.org/0000-0002-2634-4456","observed_orcids":["https://orcid.org/0000-0002-2634-4456","https://orcid.org/0000-0002-7254-6825"]},"institutions":[{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Santone","raw_affiliation_strings":["University of Molise"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Molise","institution_ids":["https://openalex.org/I129627893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082714564","display_name":"Mario Cesarelli","orcid":"https://orcid.org/0000-0001-9068-313X","observed_orcids":["https://orcid.org/0000-0001-9068-313X"]},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Cesarelli","raw_affiliation_strings":["University of Sannio"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sannio","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101546784","display_name":"Fabio Martinelli","orcid":"https://orcid.org/0000-0002-6721-9395","observed_orcids":["https://orcid.org/0000-0002-6721-9395"]},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Martinelli","raw_affiliation_strings":["National Research Council of Italy (CNR)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council of Italy (CNR)","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023695406","display_name":"Francesco Mercaldo","orcid":"https://orcid.org/0000-0002-9425-1657","observed_orcids":["https://orcid.org/0000-0002-9425-1657"]},"institutions":[{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Mercaldo","raw_affiliation_strings":["National Research Council of Italy (CNR)","University of Molise"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council of Italy (CNR)","institution_ids":["https://openalex.org/I4210155236"]},{"raw_affiliation_string":"University of Molise","institution_ids":["https://openalex.org/I129627893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022744865"],"corresponding_institution_ids":["https://openalex.org/I4210155236"],"apc_list":{"value":2382,"currency":"USD","value_usd":2382},"apc_paid":{"value":2382,"currency":"USD","value_usd":2382},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7918578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"10","first_page":"e0361135","last_page":"e0361135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":1.0,"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":1.0,"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/T10862","display_name":"AI in cancer detection","score":9.999999747378752e-05,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics (clinical)"},"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/brain-tumor-detection","display_name":"brain tumor detection","score":0.9900000095367432},{"id":"https://openalex.org/keywords/brain-tumor-localization","display_name":"brain tumor localization","score":0.8629999756813049},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"magnetic resonance imaging","score":0.9070000052452087},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9359999895095825},{"id":"https://openalex.org/keywords/grad-cam","display_name":"Grad-CAM","score":0.9509999752044678},{"id":"https://openalex.org/keywords/score-cam","display_name":"Score-CAM","score":0.9940000176429749},{"id":"https://openalex.org/keywords/class-activation-mapping","display_name":"class activation mapping","score":0.8849999904632568},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.7590000033378601},{"id":"https://openalex.org/keywords/structural-similarity-index","display_name":"structural similarity index","score":0.6499999761581421},{"id":"https://openalex.org/keywords/medical-image-classification","display_name":"medical image classification","score":0.6340000033378601}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.739300012588501},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.703000009059906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966999769210815},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6858000159263611},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.598800003528595},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5809000134468079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5321999788284302},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4706000089645386},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4426000118255615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41440001130104065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3571999967098236},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2937999963760376},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2630999982357025}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098415","descriptor_name":"Convolutional Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098432","descriptor_name":"Detection Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1371/journal.pone.0361135","doi":"https://doi.org/10.1371/journal.pone.0361135","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0361135","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0361135&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS One","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13719022","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13719022/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13719022/pdf/pone.0361135.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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS One","raw_type":"Text"},{"id":"pmid:42956083","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42956083","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,"listed_in":[],"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":"PloS one","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1371/journal.pone.0361135","doi":"https://doi.org/10.1371/journal.pone.0361135","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pone.0361135","pdf_url":"https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0361135&type=printable","source":{"id":"https://openalex.org/S202381698","display_name":"PLoS ONE","issn_l":"1932-6203","issn":["1932-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS One","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3822624842","display_name":null,"funder_award_id":"PE00000014","funder_id":"https://openalex.org/F7311471023","funder_display_name":"NextGenerationEU"}],"funders":[{"id":"https://openalex.org/F4320324633","display_name":"Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro","ror":"https://ror.org/01t264m74"},{"id":"https://openalex.org/F7311471023","display_name":"NextGenerationEU","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224416696.pdf","grobid_xml":"https://content.openalex.org/works/W7224416696.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2133665775","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2612445135","https://openalex.org/W2621028221","https://openalex.org/W2909533222","https://openalex.org/W2947735999","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W3035253074","https://openalex.org/W3042445013","https://openalex.org/W3097301973","https://openalex.org/W3128418774","https://openalex.org/W3137206040","https://openalex.org/W4214874668","https://openalex.org/W4220781430","https://openalex.org/W4221125490","https://openalex.org/W4226313662","https://openalex.org/W4283783784","https://openalex.org/W4295517687","https://openalex.org/W4312534720","https://openalex.org/W4313123167","https://openalex.org/W4323530522","https://openalex.org/W4380049370","https://openalex.org/W4384156718","https://openalex.org/W4386884927","https://openalex.org/W4389881071","https://openalex.org/W4390836820","https://openalex.org/W4390941945","https://openalex.org/W4400278729","https://openalex.org/W4400363554","https://openalex.org/W4400727111","https://openalex.org/W4409565216"],"related_works":["https://openalex.org/W7172348814","https://openalex.org/W7166845502","https://openalex.org/W7164002070","https://openalex.org/W7220367042","https://openalex.org/W4390107159","https://openalex.org/W7168385967","https://openalex.org/W7140127215","https://openalex.org/W7217066159","https://openalex.org/W7167641706","https://openalex.org/W4396828329"],"abstract_inverted_index":{"Brain":[0],"tumors,":[1],"which":[2],"are":[3],"abnormal":[4],"growths":[5],"in":[6,30,63,137,160],"the":[7,31,56,72,90,96,102,127,161,174,177,181,188],"brain":[8,61,194],"or":[9],"central":[10],"spinal":[11],"canal,":[12],"represent":[13],"a":[14,53,86,98],"serious":[15],"global":[16],"health":[17],"threat.":[18],"In":[19,48],"2023,":[20],"they":[21],"were":[22],"responsible":[23],"for":[24,41,55,79],"94,390":[25],"cases":[26],"and":[27,44,58,78,84,104,113,120,152,190],"18,990":[28],"deaths":[29],"US.":[32],"Early":[33],"detection":[34],"with":[35],"Magnetic":[36],"Resonance":[37],"Imaging":[38],"is":[39,69,168],"critical":[40],"effective":[42],"treatment":[43],"higher":[45],"survival":[46],"rates.":[47],"this":[49,80],"paper,":[50],"we":[51,82,140],"propose":[52],"method":[54,68],"classification":[57],"localization":[59],"of":[60,74,192],"tumors":[62],"magnetic":[64],"resonance":[65],"imaging.":[66],"Our":[67],"based":[70],"on":[71,142],"application":[73],"convolutional":[75],"neural":[76],"networks":[77,128],"task,":[81],"introduce":[83],"design":[85],"new":[87],"network":[88,99],"called":[89],"CBP_Net.":[91],"The":[92,123,163],"experimental":[93],"analysis":[94],"includes":[95],"Standard_CNN,":[97],"designed":[100],"by":[101,180],"authors,":[103],"other":[105],"state-of-the-art":[106],"networks,":[107],"i.e.,":[108],"MobileNet,":[109],"DenseNet,":[110],"InceptionV3,":[111],"ResNet50":[112],"EfficientNetB0.":[114],"This":[115,185],"study":[116],"emphasizes":[117],"both":[118],"quantitative":[119,131],"qualitative":[121],"evaluations.":[122],"results":[124],"demonstrate":[125],"that":[126],"achieve":[129],"optimal":[130],"metrics:":[132],"from":[133],"0.993":[134],"to":[135,154,171],"1.0":[136],"accuracy.":[138],"Qualitatively,":[139],"focus":[141],"visual":[143],"explanations":[144],"using":[145],"Class":[146],"Activation":[147],"Mapping":[148],"algorithms,":[149],"specifically":[150],"Grad-CAM":[151],"Score-CAM,":[153],"generate":[155],"heatmaps":[156,178],"highlighting":[157],"relevant":[158],"regions":[159],"images.":[162],"Structural":[164],"Similarity":[165],"Index":[166],"Measure":[167],"then":[169],"employed":[170],"quantitatively":[172],"measure":[173],"similarity":[175],"between":[176],"generated":[179],"two":[182],"CAM":[183],"algorithms.":[184],"approach":[186],"improves":[187],"reliability":[189],"trustworthiness":[191],"AI-driven":[193],"tumor":[195],"detection,":[196],"helping":[197],"clinicians":[198],"diagnose.":[199]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-30T00:00:00"}