{"id":"https://openalex.org/W3201028500","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534456","title":"MCDALNet: Multi-scale Contextual Dual Attention Learning Network for Medical Image Segmentation","display_name":"MCDALNet: Multi-scale Contextual Dual Attention Learning Network for Medical Image Segmentation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201028500","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534456","mag":"3201028500"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5069570508","display_name":"Pengcheng Guo","orcid":"https://orcid.org/0000-0002-5939-007X"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengcheng Guo","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010464164","display_name":"Xiangdong Su","orcid":"https://orcid.org/0000-0001-8061-1474"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Su","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727244","display_name":"Haoran Zhang","orcid":"https://orcid.org/0000-0002-7596-9532"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Zhang","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014372166","display_name":"Feilong Bao","orcid":"https://orcid.org/0000-0001-7312-1629"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Bao","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University,Inner Mongolia Key Laboratory of Mongolian Information Processing Technology,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069570508"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65199346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.998199999332428,"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":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7978401184082031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6817470192909241},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6653854846954346},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6581518650054932},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5205017924308777},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5057680606842041},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4919276237487793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4848128855228424},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47790464758872986},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4646555781364441},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.4455985724925995},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43583187460899353},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41277146339416504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36191296577453613},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.08084180951118469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978401184082031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6817470192909241},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6653854846954346},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6581518650054932},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5205017924308777},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5057680606842041},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4919276237487793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4848128855228424},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47790464758872986},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4646555781364441},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.4455985724925995},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43583187460899353},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41277146339416504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36191296577453613},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.08084180951118469},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5556715722","display_name":null,"funder_award_id":"61762069,61773224","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1987869189","https://openalex.org/W2150769593","https://openalex.org/W2163605009","https://openalex.org/W2167510172","https://openalex.org/W2194775991","https://openalex.org/W2585890928","https://openalex.org/W2611775752","https://openalex.org/W2752782242","https://openalex.org/W2794825826","https://openalex.org/W2798122215","https://openalex.org/W2799213142","https://openalex.org/W2803176574","https://openalex.org/W2884585870","https://openalex.org/W2898910301","https://openalex.org/W2923997689","https://openalex.org/W2955058313","https://openalex.org/W2962725274","https://openalex.org/W2962914239","https://openalex.org/W2963403868","https://openalex.org/W2963946669","https://openalex.org/W2964309882","https://openalex.org/W2987039128","https://openalex.org/W2998813643","https://openalex.org/W3102785203"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2486541857","https://openalex.org/W2382112581","https://openalex.org/W3124036233","https://openalex.org/W2108840191","https://openalex.org/W2759366996","https://openalex.org/W2354081742","https://openalex.org/W2372661603","https://openalex.org/W3083508853"],"abstract_inverted_index":{"Medical":[0],"image":[1,145,186],"segmentation":[2,187],"has":[3],"been":[4,11],"widely":[5],"studied,":[6],"and":[7,18,45,78,83,99,131,141,159,188],"many":[8],"methods":[9,28],"have":[10,21],"proposed.":[12],"Among":[13],"the":[14,43,52,56,79,118,138,143,160,172,190],"existing":[15],"methods,":[16],"U-Net":[17],"its":[19],"variants":[20],"achieved":[22],"a":[23,65,100,127,132],"promising":[24],"performance.":[25],"However,":[26],"these":[27,60],"miss":[29],"certain":[30],"areas":[31],"because":[32],"they":[33],"only":[34],"generate":[35],"fixed-scale":[36],"receptive":[37],"fields":[38],"in":[39,55,184],"each":[40],"layer":[41],"of":[42,81,126],"encoder":[44,91],"cannot":[46],"establish":[47],"rich":[48],"contextual":[49,67,95],"dependencies":[50,80,153,166],"on":[51,171,195],"fusion":[53],"features":[54,116,170],"decoder.":[57],"To":[58],"solve":[59],"problems,":[61],"this":[62],"paper":[63],"proposes":[64],"multi-scale":[66,76,94,111],"dual":[68,104,122],"attention":[69,105,123,129,134,149,162],"learning":[70,96,155,168,193],"network":[71],"(named":[72],"MCDALNet)":[73],"to":[74],"capture":[75],"information":[77,113],"spatial":[82,152,157],"channel":[84,133,161,165,173],"features.":[85],"MCDALNet":[86],"contains":[87],"two":[88],"components:":[89],"an":[90],"with":[92,102],"three":[93,103],"(MCL)":[97],"modules":[98],"decoder":[101],"modules.":[106],"The":[107,121,147],"MCL":[108],"module":[109,124],"extracts":[110],"context":[112],"from":[114],"low-level":[115],"through":[117],"split-transform-merge-residual":[119],"architecture.":[120],"consists":[125],"position":[128,148],"sub-module":[130,163],"submodule,":[135],"which":[136],"improve":[137],"feature":[139],"representation":[140],"help":[142],"medical":[144,185],"segmentation.":[146],"submodule":[150],"captures":[151,164],"by":[154,167],"similar":[156],"features,":[158],"relevant":[169],"maps.":[174],"Experiment":[175],"results":[176],"show":[177],"that":[178],"our":[179],"approach":[180],"achieves":[181],"significant":[182],"improvement":[183],"outperforms":[189],"representative":[191],"deep":[192],"models":[194],"public":[196],"datasets.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}