{"id":"https://openalex.org/W4394855635","doi":"https://doi.org/10.3233/ia-230067","title":"Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographs","display_name":"Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographs","publication_year":2024,"publication_date":"2024-04-16","ids":{"openalex":"https://openalex.org/W4394855635","doi":"https://doi.org/10.3233/ia-230067"},"language":"en","primary_location":{"id":"doi:10.3233/ia-230067","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ia-230067","pdf_url":null,"source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale: The international journal of the AIxIA","raw_type":"journal-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/A5093749116","display_name":"Rime Bouali","orcid":null},"institutions":[{"id":"https://openalex.org/I240042149","display_name":"Abdelmalek Essa\u00e2di University","ror":"https://ror.org/03c4shz64","country_code":"MA","type":"education","lineage":["https://openalex.org/I240042149"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Rime Bouali","raw_affiliation_strings":["ENSATE, Abdelmalek Essaadi University, T\u00e9touan, Morocco","ENSATE, Abdelmalek Essaadi University in Tetouan, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSATE, Abdelmalek Essaadi University, T\u00e9touan, Morocco","institution_ids":["https://openalex.org/I240042149"]},{"raw_affiliation_string":"ENSATE, Abdelmalek Essaadi University in Tetouan, Morocco","institution_ids":["https://openalex.org/I240042149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017355310","display_name":"Oussama Mahboub","orcid":"https://orcid.org/0000-0002-8745-5344"},"institutions":[{"id":"https://openalex.org/I240042149","display_name":"Abdelmalek Essa\u00e2di University","ror":"https://ror.org/03c4shz64","country_code":"MA","type":"education","lineage":["https://openalex.org/I240042149"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Oussama Mahboub","raw_affiliation_strings":["ENSATE, Abdelmalek Essaadi University, T\u00e9touan, Morocco","ENSATE, Abdelmalek Essaadi University in Tetouan, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSATE, Abdelmalek Essaadi University, T\u00e9touan, Morocco","institution_ids":["https://openalex.org/I240042149"]},{"raw_affiliation_string":"ENSATE, Abdelmalek Essaadi University in Tetouan, Morocco","institution_ids":["https://openalex.org/I240042149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008222517","display_name":"Mohamed Lazaar","orcid":"https://orcid.org/0000-0003-0812-2574"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohamed Lazaar","raw_affiliation_strings":["ENSIAS, Mohammed V University, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSIAS, Mohammed V University, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093749116"],"corresponding_institution_ids":["https://openalex.org/I240042149"],"apc_list":null,"apc_paid":null,"fwci":0.9053,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70814465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"18","issue":"2","first_page":"205","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9998000264167786,"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/T11363","display_name":"Dental Radiography and Imaging","score":0.9998000264167786,"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/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.970300018787384,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7965055704116821},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.6864045262336731},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6177853345870972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6060859560966492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5502486228942871},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.532114565372467},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4924357831478119},{"id":"https://openalex.org/keywords/dentistry","display_name":"Dentistry","score":0.44923076033592224},{"id":"https://openalex.org/keywords/orthodontics","display_name":"Orthodontics","score":0.4009090065956116},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3611152172088623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3528045415878296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3204957842826843},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11934953927993774}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7965055704116821},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.6864045262336731},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6177853345870972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6060859560966492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5502486228942871},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.532114565372467},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4924357831478119},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.44923076033592224},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.4009090065956116},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3611152172088623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3528045415878296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3204957842826843},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11934953927993774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ia-230067","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ia-230067","pdf_url":null,"source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale: The international journal of the AIxIA","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1242686068","https://openalex.org/W1903029394","https://openalex.org/W2194775991","https://openalex.org/W2539998922","https://openalex.org/W2560023338","https://openalex.org/W2735039185","https://openalex.org/W2884436604","https://openalex.org/W2890752564","https://openalex.org/W2902987956","https://openalex.org/W2910913949","https://openalex.org/W2912714916","https://openalex.org/W2918471352","https://openalex.org/W2921406441","https://openalex.org/W2958187724","https://openalex.org/W2962895999","https://openalex.org/W2964309882","https://openalex.org/W2986413572","https://openalex.org/W3015788359","https://openalex.org/W3047026765","https://openalex.org/W3080289304","https://openalex.org/W3105636206","https://openalex.org/W3132455321","https://openalex.org/W3133842028","https://openalex.org/W3196939526","https://openalex.org/W3202722194","https://openalex.org/W4210350071","https://openalex.org/W4306158096","https://openalex.org/W4324308698","https://openalex.org/W4381948601","https://openalex.org/W4383536071","https://openalex.org/W4391037497"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Accurate":[0],"tooth":[1,136],"segmentation":[2,117,124,137],"in":[3,23,53,65,73,102,138],"panoramic":[4,24,139,203],"radiographs":[5,25,140,204],"is":[6],"a":[7],"useful":[8,208],"tool":[9],"for":[10,68,114,134,201,209],"dentists":[11,27],"to":[12,37,167,183,187],"diagnose":[13],"and":[14,19,40,44,57,92,108,131,157,176,185,195,205],"treat":[15],"dental":[16,60,211],"diseases.":[17],"Segmenting":[18],"labeling":[20],"individual":[21],"teeth":[22],"helps":[26],"monitor":[28],"the":[29,42,55,69,80,106,142,163,168],"formation":[30],"of":[31,46,59,71,82,181],"caries,":[32],"detect":[33],"bone":[34],"loss":[35],"due":[36],"periodontal":[38],"disease,":[39],"determine":[41],"location":[43],"orientation":[45],"damaged":[47],"teeth.":[48],"It":[49],"can":[50],"also":[51],"aid":[52],"both":[54],"planning":[56],"placement":[58],"implants,":[61],"as":[62,64],"well":[63],"forensic":[66],"dentistry":[67],"identification":[70],"individuals":[72],"criminal":[74],"cases":[75],"or":[76],"human":[77],"remains.":[78],"With":[79],"advancement":[81],"artificial":[83],"intelligence,":[84],"many":[85],"deep":[86],"learning-based":[87],"methods":[88],"are":[89,198],"being":[90],"developed":[91],"improved.":[93],"Although":[94],"convolutional":[95],"neural":[96],"networks":[97],"have":[98],"been":[99],"extensively":[100],"used":[101],"medical":[103],"image":[104],"segmentation,":[105],"UNet":[107],"its":[109,196],"advanced":[110],"architectures":[111],"stand":[112],"out":[113],"their":[115],"superior":[116],"capacities.":[118],"This":[119,190],"study":[120],"presents":[121],"four":[122],"semantic":[123],"UNets":[125],"(Classic":[126],"UNet,":[127,129],"Attention":[128],"UNet3+,":[130],"Transformer":[132],"UNet)":[133],"accurate":[135],"using":[141,151],"new":[143],"Tufts":[144],"Dental":[145],"dataset.":[146],"Each":[147],"model":[148],"was":[149],"performed":[150],"transfer":[152],"learning":[153],"from":[154],"ImageNet-trained":[155],"VGG19":[156],"ResNet50":[158],"models.":[159],"The":[160],"models":[161,171],"achieved":[162],"best":[164],"results":[165],"compared":[166],"other":[169],"literature":[170],"with":[172],"dice":[173],"coefficients":[174],"(DC)":[175],"intersection":[177],"over":[178],"union":[179],"(IoU)":[180],"94.64%":[182],"96.98%":[184],"84.27%":[186],"94.19%,":[188],"respectively.":[189],"result":[191],"suggests":[192],"that":[193],"Unet":[194],"variants":[197],"more":[199],"suitable":[200],"segmenting":[202],"could":[206],"be":[207],"potential":[210],"clinical":[212],"applications.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-03T06:03:33.228499","created_date":"2025-10-10T00:00:00"}