{"id":"https://openalex.org/W4401808831","doi":"https://doi.org/10.1109/atsip62566.2024.10638958","title":"Enhanced Deep Learning Framework for Automatic MRI Brain Tumor Segmentation with Data Augmentation","display_name":"Enhanced Deep Learning Framework for Automatic MRI Brain Tumor Segmentation with Data Augmentation","publication_year":2024,"publication_date":"2024-07-11","ids":{"openalex":"https://openalex.org/W4401808831","doi":"https://doi.org/10.1109/atsip62566.2024.10638958"},"language":"en","primary_location":{"id":"doi:10.1109/atsip62566.2024.10638958","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/atsip62566.2024.10638958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)","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/A5039451486","display_name":"Ekram Chamseddine","orcid":"https://orcid.org/0000-0002-1484-5069"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Ekram Chamseddine","raw_affiliation_strings":["University of Tunis,SIME Lab-ENSIT,Tunis,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tunis,SIME Lab-ENSIT,Tunis,Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038306273","display_name":"Lotfi Tlig","orcid":"https://orcid.org/0000-0001-7691-3605"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lotfi Tlig","raw_affiliation_strings":["University of Tunis,SIME Lab-ENSIT,Tunis,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tunis,SIME Lab-ENSIT,Tunis,Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007949063","display_name":"Mounir Sayadi","orcid":"https://orcid.org/0000-0003-4270-421X"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mounir Sayadi","raw_affiliation_strings":["University of Tunis,SIME Lab-ENSIT,Tunis,Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tunis,SIME Lab-ENSIT,Tunis,Tunisia","institution_ids":["https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039451486"],"corresponding_institution_ids":["https://openalex.org/I108714496"],"apc_list":null,"apc_paid":null,"fwci":0.9166,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75299603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.996999979019165,"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":0.996999979019165,"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":0.9506999850273132,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9466999769210815,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894152760505676},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.607248842716217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5954153537750244},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5874136686325073},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4104096293449402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3200159966945648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894152760505676},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.607248842716217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5954153537750244},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5874136686325073},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4104096293449402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3200159966945648}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip62566.2024.10638958","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/atsip62566.2024.10638958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)","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":25,"referenced_works":["https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2310992461","https://openalex.org/W2529926598","https://openalex.org/W2587828787","https://openalex.org/W2618530766","https://openalex.org/W2805201542","https://openalex.org/W2954400094","https://openalex.org/W2963717741","https://openalex.org/W2977419649","https://openalex.org/W2982078706","https://openalex.org/W3004660901","https://openalex.org/W3028210663","https://openalex.org/W3028279406","https://openalex.org/W3033946900","https://openalex.org/W3042445013","https://openalex.org/W3105843050","https://openalex.org/W3127966350","https://openalex.org/W3164956625","https://openalex.org/W3180604690","https://openalex.org/W3195064215","https://openalex.org/W3195573181","https://openalex.org/W3209037005","https://openalex.org/W6728528290"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3009238340","https://openalex.org/W3116076068","https://openalex.org/W2229312674"],"abstract_inverted_index":{"Automatic":[0],"MRI":[1,16,51,67,98],"brain":[2,12,68,97,133],"tumor":[3,136],"segmentation":[4,79,95,137,181],"is":[5,30,103,139,153],"the":[6,34,50,108,112,117,125,143,150,164,173,179],"automatic":[7],"detection":[8],"of":[9,96,107,111,132,145,188],"borders":[10],"between":[11],"substructures":[13],"in":[14,18,61,81],"an":[15,104],"image":[17,52,69],"order":[19],"to":[20,33,163],"distinguish":[21],"malignant":[22],"tumors":[23],"from":[24],"normal":[25],"tissues.":[26],"However,":[27],"this":[28,72,123],"task":[29],"challenging":[31],"due":[32],"significant":[35],"anatomical":[36],"shape":[37],"diversity":[38],"among":[39],"patients":[40],"as":[41,43],"well":[42],"artifacts":[44],"and":[45,147],"intensity":[46],"non-uniformity":[47],"caused":[48],"by":[49,115],"acquisition":[53],"process.":[54],"Recently,":[55],"there":[56],"has":[57,76],"been":[58],"much":[59],"interest":[60],"using":[62,155],"deep":[63,88],"neural":[64],"networks":[65],"for":[66,91],"segmentation.":[70],"Indeed,":[71],"machine":[73],"learning":[74,89],"subfield":[75],"outperformed":[77],"traditional":[78],"algorithms":[80],"many":[82],"circumstances.":[83],"This":[84],"study":[85],"presents":[86],"a":[87,184],"structure":[90],"completely":[92],"automated":[93],"multi-class":[94],"images.":[99],"The":[100],"proposed":[101,174],"approach":[102],"enhanced":[105],"instantiation":[106],"optimized":[109],"version":[110],"U-Net":[113],"model":[114,180],"choosing":[116],"proper":[118],"data":[119,175],"augmentation":[120,176],"techniques.":[121],"To":[122,141],"end,":[124],"BraTS21":[126],"dataset":[127],"which":[128],"contains":[129],"3D":[130],"volumes":[131],"images":[134],"with":[135,183],"annotations":[138],"used.":[140],"increase":[142],"amount":[144],"samples":[146],"prevent":[148],"overfitting,":[149],"training":[151],"subset":[152],"augmented":[154],"elastic":[156],"deformation":[157],"brightness":[158],"transformation":[159],"before":[160],"being":[161],"fed":[162],"model.":[165],"After":[166],"evaluation,":[167],"our":[168],"empirical":[169],"finding":[170],"proves":[171],"that":[172],"slightly":[177],"improved":[178],"results":[182],"mean":[185],"dice":[186],"score":[187],"91.70%.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}