{"id":"https://openalex.org/W4403709119","doi":"https://doi.org/10.1145/3690407.3690595","title":"AMFF-NET: Adaptive Multi-Layer Feature Fusion Network for Medical Image Segmentation","display_name":"AMFF-NET: Adaptive Multi-Layer Feature Fusion Network for Medical Image Segmentation","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4403709119","doi":"https://doi.org/10.1145/3690407.3690595"},"language":"en","primary_location":{"id":"doi:10.1145/3690407.3690595","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","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/A5080443883","display_name":"Ruirui Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruirui Ma","raw_affiliation_strings":["College of Compuler Science and Technology, Xinjiang University, Urumgi, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Compuler Science and Technology, Xinjiang University, Urumgi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072497955","display_name":"Shaochen Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaochen Jiang","raw_affiliation_strings":["College of Compuler Science and Technology, Xinjiang University, Urumgi, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Compuler Science and Technology, Xinjiang University, Urumgi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081489939","display_name":"Liejun Wang","orcid":"https://orcid.org/0000-0003-0210-2273"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liejun Wang","raw_affiliation_strings":["College of Compuler Science and Technology, Xinjiang University, Urumgi, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"College of Compuler Science and Technology, Xinjiang University, Urumgi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080443883"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24535952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1133","last_page":"1138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9962000250816345,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.6817845106124878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6754621267318726},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6587445139884949},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6384159922599792},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5703703761100769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5383570790290833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5271413326263428},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.521561861038208},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5165314078330994},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5152381062507629},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4757625460624695},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4382239878177643},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4346204102039337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11664140224456787},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07531458139419556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6817845106124878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754621267318726},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6587445139884949},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6384159922599792},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5703703761100769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5383570790290833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5271413326263428},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.521561861038208},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5165314078330994},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5152381062507629},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4757625460624695},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4382239878177643},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4346204102039337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11664140224456787},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07531458139419556},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690407.3690595","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","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":19,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2612690371","https://openalex.org/W2774320778","https://openalex.org/W2884436604","https://openalex.org/W2892219791","https://openalex.org/W2964227007","https://openalex.org/W2983365766","https://openalex.org/W3035421056","https://openalex.org/W3094502228","https://openalex.org/W3108194527","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3160284783","https://openalex.org/W3196811303","https://openalex.org/W3212933375","https://openalex.org/W4221163766","https://openalex.org/W4230876871","https://openalex.org/W4388183157","https://openalex.org/W6682889407"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2379054866","https://openalex.org/W3144569342","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"hybrid":[3],"modeling":[4],"approaches":[5],"that":[6],"integrate":[7],"U-shaped":[8],"networks":[9],"with":[10,56,99],"Transformer":[11,101],"architectures":[12],"have":[13],"demonstrated":[14],"significant":[15],"potential":[16],"in":[17,32,86],"achieving":[18],"precise":[19],"and":[20,40,47,64,94,113,117,147],"automatic":[21],"segmentation":[22],"of":[23,83,106,128,160],"medical":[24,87],"images.":[25],"Nonetheless,":[26],"these":[27,45],"models":[28],"exhibit":[29],"a":[30,71,91,114],"deficiency":[31],"extracting":[33],"meaningful":[34],"pixel":[35],"features":[36],"across":[37,145],"both":[38],"spatial":[39,63,148],"channel":[41,65,146],"dimensions.":[42,149],"To":[43],"address":[44],"challenges":[46],"improve":[48],"the":[49,69,81,100,104,123,138,157],"model's":[50],"capability":[51],"to":[52,140],"merge":[53],"local":[54],"attributes":[55],"overall":[57],"context,":[58],"while":[59,131],"also":[60],"accurately":[61],"identifying":[62],"dependencies,":[66],"we":[67],"propose":[68],"AMFF-NET,":[70],"new":[72],"adaptive":[73],"multi-layer":[74],"feature":[75],"fusion":[76],"network.":[77],"Specifically,":[78],"AMFF-NET":[79],"enhances":[80],"representation":[82],"foreground":[84,129],"information":[85],"images":[88],"by":[89],"integrating":[90],"Partial":[92,109],"Convolution":[93,110],"Attention":[95,119],"Hybrid":[96],"module":[97,120],"(PCAH)":[98],"framework.":[102],"Moreover,":[103],"incorporation":[105],"an":[107],"Upsampled":[108],"Block":[111],"(UPCB)":[112],"Parallel":[115],"Channel":[116],"Spatial":[118],"(PCSA)":[121],"within":[122],"decoder":[124],"facilitates":[125],"further":[126],"refinement":[127],"details,":[130],"minimizing":[132],"background":[133],"distractions.":[134],"This":[135],"method":[136],"allows":[137],"model":[139],"more":[141],"efficiently":[142],"grasp":[143],"dependencies":[144],"Extensive":[150],"experimentations":[151],"on":[152],"publicly":[153],"available":[154],"datasets":[155],"validate":[156],"superior":[158],"performance":[159],"AMFF-NET.":[161]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
