{"id":"https://openalex.org/W3142989267","doi":"https://doi.org/10.1145/3445815.3445830","title":"Multi-scale Attention Net for Retina Blood Vessel Segmentation","display_name":"Multi-scale Attention Net for Retina Blood Vessel Segmentation","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3142989267","doi":"https://doi.org/10.1145/3445815.3445830","mag":"3142989267"},"language":"en","primary_location":{"id":"doi:10.1145/3445815.3445830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","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/A5055779216","display_name":"Yulin Wu","orcid":"https://orcid.org/0000-0001-8116-715X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulin Wu","raw_affiliation_strings":["Shandong University, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757581","display_name":"Anqi Liu","orcid":"https://orcid.org/0000-0002-9432-4836"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Liu","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755955","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0003-3068-1583"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979974","display_name":"Dong Zhao","orcid":"https://orcid.org/0000-0002-3991-9570"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhao","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102804953","display_name":"Hongchao Zhou","orcid":"https://orcid.org/0000-0002-9783-0873"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchao Zhou","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102026679","display_name":"Qinghe Zheng","orcid":"https://orcid.org/0000-0003-1466-2542"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghe Zheng","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055779216"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.2203,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60178641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"86","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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":0.9991000294685364,"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":0.9970999956130981,"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/segmentation","display_name":"Segmentation","score":0.7800920605659485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7766445875167847},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6966768503189087},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6965168118476868},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.6885391473770142},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6564012765884399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.638329267501831},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5772224068641663},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5611171126365662},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5498377084732056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49036359786987305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4893617033958435},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4878075420856476},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4520759582519531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18702390789985657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10689672827720642},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06693470478057861}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7800920605659485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766445875167847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6966768503189087},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6965168118476868},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.6885391473770142},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6564012765884399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.638329267501831},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5772224068641663},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5611171126365662},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5498377084732056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49036359786987305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4893617033958435},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4878075420856476},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4520759582519531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18702390789985657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10689672827720642},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06693470478057861},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3445815.3445830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","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":11,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2163344010","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2585890928","https://openalex.org/W2768889754","https://openalex.org/W2788906943","https://openalex.org/W2905338897","https://openalex.org/W2963881378"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"U-Net":[0,24,47],"has":[1],"been":[2],"recently":[3],"employed":[4],"to":[5,104],"solve":[6],"the":[7,28,49,54,69,91,119,123],"medical":[8],"image":[9],"segmentation":[10,73,127],"problems":[11],"such":[12],"as":[13],"retina":[14],"blood":[15,130],"vessel":[16],"segmentation.":[17],"The":[18],"structure":[19],"with":[20],"skip":[21],"connections":[22,77],"in":[23,59,108],"can":[25,83],"effectively":[26],"concatenate":[27],"features":[29],"of":[30,51,68],"encoding":[31,79],"and":[32,56,80,87,94,111],"decoding":[33,81],"branches.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"a":[40],"Multi-scale":[41],"Attention":[42],"Net":[43],"(MA-Net)":[44],"based":[45],"on":[46,126],"where":[48],"variation":[50],"scale":[52],"inside":[53,78],"paths":[55,82],"relevant":[57],"regions":[58,107],"feature":[60,97,109],"maps":[61,110],"are":[62,65],"considered.":[63],"There":[64],"several":[66],"advantages":[67],"proposed":[70,120],"architecture":[71],"for":[72,129],"tasks.":[74],"First,":[75],"multi-scale":[76],"fuse":[84],"information":[85],"within":[86],"between":[88],"blocks":[89],"at":[90],"same":[92],"time":[93],"ensure":[95],"better":[96],"representation.":[98],"Second,":[99],"MA-Net":[100],"integrates":[101],"attention":[102],"mechanism":[103],"suppress":[105],"irrelevant":[106],"highlight":[112],"salient":[113],"features.":[114],"Experimental":[115],"results":[116],"illustrate":[117],"that":[118],"method":[121],"outperforms":[122],"compared":[124],"algorithms":[125],"tasks":[128],"vessel.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
