{"id":"https://openalex.org/W4400909905","doi":"https://doi.org/10.1109/ie61493.2024.10599901","title":"Inception residual network for brain tumor segmentation","display_name":"Inception residual network for brain tumor segmentation","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4400909905","doi":"https://doi.org/10.1109/ie61493.2024.10599901"},"language":"en","primary_location":{"id":"doi:10.1109/ie61493.2024.10599901","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ie61493.2024.10599901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Intelligent Environments (IE)","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/A5068473617","display_name":"Jihen Fourati","orcid":"https://orcid.org/0000-0002-5499-5248"},"institutions":[{"id":"https://openalex.org/I35845393","display_name":"University of Gafsa","ror":"https://ror.org/01kzjzn40","country_code":"TN","type":"education","lineage":["https://openalex.org/I35845393"]},{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Jihen Fourati","raw_affiliation_strings":["University of Sfax Technology, Energy, and Innovative Materials Lab, University of Gafsa,Engineering School of Sfax,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Sfax Technology, Energy, and Innovative Materials Lab, University of Gafsa,Engineering School of Sfax,Tunisia","institution_ids":["https://openalex.org/I142899784","https://openalex.org/I35845393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089005648","display_name":"Mohamed Othmani","orcid":"https://orcid.org/0000-0001-5617-6062"},"institutions":[{"id":"https://openalex.org/I35845393","display_name":"University of Gafsa","ror":"https://ror.org/01kzjzn40","country_code":"TN","type":"education","lineage":["https://openalex.org/I35845393"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Othmani","raw_affiliation_strings":["University of Gafsa,Faculty of Sciences of Gafsa,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Gafsa,Faculty of Sciences of Gafsa,Tunisia","institution_ids":["https://openalex.org/I35845393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043156165","display_name":"Khawla Ben Salah","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I35845393","display_name":"University of Gafsa","ror":"https://ror.org/01kzjzn40","country_code":"TN","type":"education","lineage":["https://openalex.org/I35845393"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Khawla Ben Salah","raw_affiliation_strings":["University of Sfax Technology, Energy, and Innovative Materials Lab, University of Gafsa,Engineering School of Sfax,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Sfax Technology, Energy, and Innovative Materials Lab, University of Gafsa,Engineering School of Sfax,Tunisia","institution_ids":["https://openalex.org/I142899784","https://openalex.org/I35845393"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089206286","display_name":"Hela Ltifi","orcid":"https://orcid.org/0000-0003-3953-1135"},"institutions":[{"id":"https://openalex.org/I55167344","display_name":"University of Kairouan","ror":"https://ror.org/024mpte60","country_code":"TN","type":"education","lineage":["https://openalex.org/I55167344"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hela Ltifi","raw_affiliation_strings":["University of Kairouan Research Groups in Intelligent Machines Lab,Faculty of Sciences and Techniques of Sidi Bouzid,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Kairouan Research Groups in Intelligent Machines Lab,Faculty of Sciences and Techniques of Sidi Bouzid,Tunisia","institution_ids":["https://openalex.org/I55167344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068473617"],"corresponding_institution_ids":["https://openalex.org/I142899784","https://openalex.org/I35845393"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12273919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9894999861717224,"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":0.9894999861717224,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9559000134468079,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9086999893188477,"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/residual","display_name":"Residual","score":0.691159725189209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6578536033630371},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6029667258262634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4986245632171631},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4223001301288605},{"id":"https://openalex.org/keywords/brain-tumor","display_name":"Brain tumor","score":0.4215688109397888},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1585485339164734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09639975428581238}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.691159725189209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6578536033630371},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6029667258262634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4986245632171631},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4223001301288605},{"id":"https://openalex.org/C2779130545","wikidata":"https://www.wikidata.org/wiki/Q233309","display_name":"Brain tumor","level":2,"score":0.4215688109397888},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1585485339164734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09639975428581238},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ie61493.2024.10599901","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ie61493.2024.10599901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Intelligent Environments (IE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2259348520","https://openalex.org/W2464708700","https://openalex.org/W2613456556","https://openalex.org/W2900298334","https://openalex.org/W2963046541","https://openalex.org/W3014974815","https://openalex.org/W3015500759","https://openalex.org/W3017116930","https://openalex.org/W3027873036","https://openalex.org/W3048297036","https://openalex.org/W3100548413","https://openalex.org/W3112701542","https://openalex.org/W3141856780","https://openalex.org/W3142717613","https://openalex.org/W3144727859","https://openalex.org/W3146749430","https://openalex.org/W3151682712","https://openalex.org/W3156975676","https://openalex.org/W4226468439","https://openalex.org/W4282839986","https://openalex.org/W4283160212","https://openalex.org/W4295799372","https://openalex.org/W4323060185","https://openalex.org/W4368367371","https://openalex.org/W4388430308","https://openalex.org/W4390278034"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W3209312100","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Brain":[0,114],"tumors":[1,18],"are":[2],"a":[3,50,64,78],"pathological":[4],"condition":[5],"characterized":[6],"by":[7],"aberrant":[8],"growth":[9],"within":[10],"the":[11,32,38,74,91,112,122,150],"cerebral":[12],"structure.":[13],"The":[14,84,105,146],"segmentation":[15,72,100],"of":[16,40,132,152],"these":[17],"becomes":[19],"pronounced":[20],"to":[21,31,56,157],"discern":[22],"their":[23,42],"boundaries":[24],"accurately":[25],"amidst":[26],"healthy":[27],"brain":[28,70],"tissues,":[29],"owing":[30],"variability":[33],"in":[34],"tumor":[35,48,71,143],"shapes":[36],"and":[37,45,135,142],"complexities":[39],"determining":[41],"location,":[43],"size,":[44],"texture.":[46],"Manual":[47],"segmentation,":[49],"time-consuming":[51],"task,":[52],"is":[53,95,101,107],"highly":[54],"susceptible":[55],"human":[57],"error.":[58],"In":[59],"this":[60,98],"paper,":[61],"we":[62],"propose":[63],"deep":[65],"inception":[66],"residual":[67,92],"network":[68,128],"for":[69,137],"using":[73],"UNet":[75],"architecture":[76],"with":[77,90],"pre-trained":[79],"Inception":[80,89],"ResNet":[81],"V2":[82],"encoder.":[83],"Inception-Resnet":[85],"block,":[86],"which":[87],"fuses":[88],"neural":[93],"network,":[94],"included.":[96],"With":[97],"architecture,":[99],"significantly":[102],"more":[103],"robust.":[104],"study":[106],"being":[108],"carried":[109],"out":[110],"on":[111,121],"RSNA-MICCAI":[113],"Tumor":[115],"Radiogenomic":[116],"Classification":[117],"data":[118],"set,":[119],"i.e.,":[120],"benchmark":[123],"dataset":[124],"BraTS":[125],"2020.":[126],"Our":[127],"achieves":[129],"dice":[130],"scores":[131],"85.7%,":[133],"91.2%,":[134],"83.2%":[136],"enhancing":[138],"tumor,":[139,141],"whole":[140],"core,":[144],"respectively.":[145],"experimental":[147],"findings":[148],"demonstrate":[149],"effectiveness":[151],"our":[153],"proposed":[154],"approach":[155],"compared":[156],"other":[158],"methods.":[159]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
