{"id":"https://openalex.org/W4415540524","doi":"https://doi.org/10.1145/3746027.3755147","title":"MARL-MambaContour: Unleashing Multi-Agent Deep Reinforcement Learning for Active Contour Optimization in Medical Image Segmentation","display_name":"MARL-MambaContour: Unleashing Multi-Agent Deep Reinforcement Learning for Active Contour Optimization in Medical Image Segmentation","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540524","doi":"https://doi.org/10.1145/3746027.3755147"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755147","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5005072173","display_name":"Ruicheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruicheng Zhang","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-6793-1012","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Sun","orcid":"https://orcid.org/0009-0007-8109-7092"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Sun","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0007-8109-7092","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013686490","display_name":"Zeyu Zhang","orcid":"https://orcid.org/0009-0006-8819-3741"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zeyu Zhang","raw_affiliation_strings":["The Australian National University, Canberra, Australia"],"raw_orcid":"https://orcid.org/0009-0006-8819-3741","affiliations":[{"raw_affiliation_string":"The Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinai Li","orcid":"https://orcid.org/0009-0007-1170-0247"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinai Li","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0007-1170-0247","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaofan Liu","orcid":"https://orcid.org/0009-0001-6608-2964"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofan Liu","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0001-6608-2964","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120132398","display_name":"Hoi Fan Au","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hoi Fan Au","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0009-9140-349X","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111579414","display_name":"Hongkai Guo","orcid":"https://orcid.org/0009-0007-4611-7932"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haowei Guo","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0007-4611-7932","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Puxin Yan","orcid":"https://orcid.org/0009-0000-4455-8346"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puxin Yan","raw_affiliation_strings":["Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-4455-8346","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5005072173"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28960809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7815","last_page":"7824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9973000288009644,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6151000261306763},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5508999824523926},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5503000020980835},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4893999993801117},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44440001249313354},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.34119999408721924},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.3400999903678894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3336000144481659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311000227928162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6995000243186951},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6151000261306763},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5508999824523926},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5503000020980835},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4893999993801117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46560001373291016},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34880000352859497},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.26179999113082886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755147","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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":31,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2108598243","https://openalex.org/W2179488730","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2470139095","https://openalex.org/W2763160469","https://openalex.org/W2776507577","https://openalex.org/W3009133676","https://openalex.org/W3013627541","https://openalex.org/W3014974815","https://openalex.org/W3034826836","https://openalex.org/W3035709993","https://openalex.org/W3100789280","https://openalex.org/W3103643891","https://openalex.org/W3112346810","https://openalex.org/W3201987110","https://openalex.org/W3210447451","https://openalex.org/W4289643891","https://openalex.org/W4312841185","https://openalex.org/W4384699648","https://openalex.org/W4386047745","https://openalex.org/W4386075493","https://openalex.org/W4388997069","https://openalex.org/W4389169481","https://openalex.org/W4390873519","https://openalex.org/W4391109864","https://openalex.org/W4391591097","https://openalex.org/W4398756379","https://openalex.org/W4403067087","https://openalex.org/W4403977303"],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"MARL-MambaContour,":[2,169],"the":[3,33,69,100,115,165],"first":[4],"contour-based":[5],"medical":[6,82,161],"image":[7],"segmentation":[8,19],"framework":[9,116],"based":[10],"on":[11,26,158],"Multi-Agent":[12],"Reinforcement":[13],"Learning":[14],"(MARL).":[15],"Our":[16],"approach":[17],"reframes":[18],"as":[20,56,173],"a":[21,91,118,123],"multi-agent":[22],"cooperation":[23],"task":[24],"focused":[25],"generating":[27],"topologically":[28],"consistent":[29],"object-level":[30],"contours,":[31],"addressing":[32],"limitations":[34,137],"of":[35,48,168],"traditional":[36],"pixel-based":[37],"methods":[38],"which":[39,106],"could":[40],"lack":[41],"topological":[42],"constraints":[43],"and":[44,77,153,176],"holistic":[45],"structural":[46],"awareness":[47],"anatomical":[49],"regions.":[50],"Each":[51],"contour":[52,112],"point":[53],"is":[54,88],"modeled":[55],"an":[57,174],"autonomous":[58],"agent":[59,109],"that":[60],"iteratively":[61],"adjusts":[62],"its":[63,171],"position":[64],"to":[65,74],"align":[66],"precisely":[67],"with":[68,99,111,139],"target":[70],"boundary,":[71],"enabling":[72],"adaptation":[73],"blurred":[75],"edges":[76],"intricate":[78],"morphologies":[79],"common":[80],"in":[81,142],"images.":[83],"This":[84,131],"iterative":[85],"adjustment":[86],"process":[87],"optimized":[89],"by":[90],"contour-specific":[92],"Soft":[93],"Actor-Critic":[94],"(SAC)":[95],"algorithm,":[96],"further":[97],"enhanced":[98],"Entropy":[101],"Regularization":[102],"Adjustment":[103],"Mechanism":[104,129],"(ERAM)":[105],"dynamically":[107],"balances":[108],"exploration":[110],"smoothness.":[113],"Furthermore,":[114],"incorporates":[117],"Mamba-based":[119],"policy":[120],"network":[121],"featuring":[122],"novel":[124],"Bidirectional":[125],"Cross-attention":[126],"Hidden-state":[127],"Fusion":[128],"(BCHFM).":[130],"mechanism":[132],"mitigates":[133],"potential":[134,172],"memory":[135],"confusion":[136],"associated":[138],"long-range":[140],"modeling":[141],"state":[143],"space":[144],"models,":[145],"thereby":[146],"facilitating":[147],"more":[148],"accurate":[149,175],"inter-agent":[150],"information":[151],"exchange":[152],"informed":[154],"decision-making.":[155],"Extensive":[156],"experiments":[157],"five":[159],"diverse":[160],"imaging":[162],"datasets":[163],"demonstrate":[164],"state-of-the-art":[166],"performance":[167],"highlighting":[170],"robust":[177],"clinical":[178],"application.":[179]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-25T00:00:00"}
