{"id":"https://openalex.org/W4400315043","doi":"https://doi.org/10.1109/isivc61350.2024.10577804","title":"A novel MLP-Mixer and channel attention based network for medical image segmentation","display_name":"A novel MLP-Mixer and channel attention based network for medical image segmentation","publication_year":2024,"publication_date":"2024-05-21","ids":{"openalex":"https://openalex.org/W4400315043","doi":"https://doi.org/10.1109/isivc61350.2024.10577804"},"language":"en","primary_location":{"id":"doi:10.1109/isivc61350.2024.10577804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc61350.2024.10577804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)","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/A5093797222","display_name":"Jaouad Tagnamas","orcid":"https://orcid.org/0009-0002-0289-491X"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Jaouad Tagnamas","raw_affiliation_strings":["University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco"],"affiliations":[{"raw_affiliation_string":"University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053883941","display_name":"Hiba Ramadan","orcid":"https://orcid.org/0000-0002-3586-4760"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hiba Ramadan","raw_affiliation_strings":["University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco"],"affiliations":[{"raw_affiliation_string":"University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078495751","display_name":"Ali Yahyaouy","orcid":"https://orcid.org/0000-0003-1954-2734"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ali Yahyaouy","raw_affiliation_strings":["University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco"],"affiliations":[{"raw_affiliation_string":"University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038331849","display_name":"Hamid Tairi","orcid":"https://orcid.org/0000-0002-5445-0037"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hamid Tairi","raw_affiliation_strings":["University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco"],"affiliations":[{"raw_affiliation_string":"University of Sidi Mohamed Ben Abdellah,Faculty of Sciences Dhar El Mahraz,Fez,Morocco","institution_ids":["https://openalex.org/I81605866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093797222"],"corresponding_institution_ids":["https://openalex.org/I81605866"],"apc_list":null,"apc_paid":null,"fwci":0.2631,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54628272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9535999894142151,"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":0.9535999894142151,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6999560594558716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6579873561859131},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6296427249908447},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5380333065986633},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5206400752067566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5191554427146912},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4320966303348541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3834023177623749},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15119245648384094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6999560594558716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6579873561859131},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6296427249908447},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5380333065986633},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5206400752067566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5191554427146912},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4320966303348541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3834023177623749},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15119245648384094}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isivc61350.2024.10577804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc61350.2024.10577804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2395611524","https://openalex.org/W2565639579","https://openalex.org/W2798122215","https://openalex.org/W2884436604","https://openalex.org/W2907750714","https://openalex.org/W2991372685","https://openalex.org/W3034552520","https://openalex.org/W3094502228","https://openalex.org/W3127751679","https://openalex.org/W3157506437","https://openalex.org/W3160284783","https://openalex.org/W3163465952","https://openalex.org/W3197417533","https://openalex.org/W3197957534","https://openalex.org/W3204166336","https://openalex.org/W4390874170","https://openalex.org/W6791406852","https://openalex.org/W6792155083"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"medical":[1,61,89],"image":[2,24,62],"segmentation":[3,102],"is":[4],"vital":[5],"for":[6,23,60],"clinical":[7],"applications,":[8],"aiding":[9],"in":[10,88],"precise":[11],"diagnosis":[12],"and":[13,54,84],"treatment":[14],"planning.":[15],"While":[16],"Multi-Layer":[17],"Perceptrons":[18],"(MLPs)":[19],"were":[20],"traditionally":[21],"used":[22],"classification,":[25],"the":[26,29,50,68,76,96],"emergence":[27],"of":[28,52,118],"MLP-Mixer":[30,53,69],"architecture":[31,47,106],"has":[32],"demonstrated":[33],"their":[34],"efficacy":[35],"beyond":[36],"classification":[37],"tasks.":[38],"In":[39],"this":[40,93],"paper,":[41],"we":[42,99],"introduce":[43],"a":[44,71,115],"novel":[45],"network":[46],"that":[48],"combines":[49],"strengths":[51],"channel":[55,72],"attention":[56,73],"mechanisms,":[57],"specifically":[58],"tailored":[59],"segmentation.":[63],"Our":[64],"proposed":[65,105],"mixer-block,":[66],"integrating":[67],"with":[70],"module,":[74],"enhances":[75],"network\u2019s":[77],"capability":[78],"to":[79],"focus":[80],"on":[81,111],"relevant":[82],"features":[83],"capture":[85],"intricate":[86],"details":[87],"images.":[90],"By":[91],"incorporating":[92],"mixer-block":[94],"into":[95],"U-Net":[97],"architecture,":[98],"achieve":[100],"improved":[101],"performance.":[103],"The":[104],"outperformed":[107],"State-of-the-Art":[108],"(SOTA)":[109],"methods":[110],"BUSI":[112],"dataset":[113],"achieving":[114],"dice":[116],"coefficient":[117],"81.45%.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}