{"id":"https://openalex.org/W3011135183","doi":"https://doi.org/10.1117/12.2548959","title":"Attention multi-scale network for pigment epithelial detachment segmentation in OCT images","display_name":"Attention multi-scale network for pigment epithelial detachment segmentation in OCT images","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3011135183","doi":"https://doi.org/10.1117/12.2548959","mag":"3011135183"},"language":"en","primary_location":{"id":"doi:10.1117/12.2548959","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038697638","display_name":"Dengsen Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengsen Bao","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079122160","display_name":"Xuena Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuena Cheng","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058024483","display_name":"Weifang Zhu","orcid":"https://orcid.org/0000-0001-9540-4101"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]},{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifang Zhu","raw_affiliation_strings":["Minjiang Univ. (China)","Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Minjiang Univ. (China)","institution_ids":["https://openalex.org/I354108"]},{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048091475","display_name":"Fei Shi","orcid":"https://orcid.org/0000-0002-8878-6655"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shi","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079807652","display_name":"Xinjian Chen","orcid":"https://orcid.org/0000-0002-0871-293X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Chen","raw_affiliation_strings":["Soochow Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064824381","display_name":"Ivica Kopriva","orcid":"https://orcid.org/0000-0002-8610-8877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivica Kopriva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"112"},"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7269913554191589},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6862326860427856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6370673775672913},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.5958777666091919},{"id":"https://openalex.org/keywords/macular-degeneration","display_name":"Macular degeneration","score":0.5368177890777588},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49923205375671387},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4951118528842926},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49252304434776306},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.4824422001838684},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4719754159450531},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4572775363922119},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4351423680782318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4293990135192871},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4192972779273987},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4071950614452362},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24966120719909668},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.2007882297039032},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1416977345943451},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1389131247997284},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1048499345779419},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07587781548500061}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269913554191589},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6862326860427856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6370673775672913},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.5958777666091919},{"id":"https://openalex.org/C2776403814","wikidata":"https://www.wikidata.org/wiki/Q27429789","display_name":"Macular degeneration","level":2,"score":0.5368177890777588},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49923205375671387},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4951118528842926},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49252304434776306},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.4824422001838684},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4719754159450531},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4572775363922119},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4351423680782318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4293990135192871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4192972779273987},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4071950614452362},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24966120719909668},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.2007882297039032},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1416977345943451},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1389131247997284},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1048499345779419},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07587781548500061},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2548959","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","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":0,"referenced_works":[],"related_works":["https://openalex.org/W3041046439","https://openalex.org/W2994531931","https://openalex.org/W4360991425","https://openalex.org/W4386789577","https://openalex.org/W2049145612","https://openalex.org/W4246192989","https://openalex.org/W2992454348","https://openalex.org/W2321279150","https://openalex.org/W2949122205","https://openalex.org/W2157102420"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1],"of":[2,42,107,168],"pigment":[3],"epithelial":[4],"detachment":[5],"(PED)":[6],"in":[7,55,79,92,132],"retinal":[8],"optical":[9],"coherence":[10],"tomography":[11],"(OCT)":[12],"images":[13],"can":[14],"help":[15],"doctors":[16],"comprehensively":[17],"analyze":[18],"and":[19,32,165,179,187],"diagnose":[20],"chorioretinal":[21],"diseases,":[22],"such":[23],"as":[24,69],"age-related":[25],"macular":[26],"degeneration":[27],"(AMD),":[28],"central":[29],"serous":[30],"chorioretinopathy":[31],"polypoidal":[33],"choroidal":[34],"vasculopathy.":[35],"Due":[36],"to":[37,76,102,115,136],"the":[38,84,93,104,108,133,138,144,150],"serious":[39],"uneven":[40],"sizes":[41],"PED,":[43],"some":[44],"traditional":[45],"algorithms":[46],"or":[47],"common":[48],"deep":[49],"networks":[50],"do":[51],"not":[52],"perform":[53],"well":[54],"PED":[56,78],"segmentation.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"a":[63,73],"novel":[64],"attention":[65,113,142],"multi-scale":[66,117,122,145],"network":[67,75,139],"(named":[68],"AM-Net)":[70],"based":[71,125],"on":[72,126,143,153],"U-shape":[74],"segment":[77],"OCT":[80,157],"images.":[81],"Compared":[82],"with":[83,159],"original":[85],"U-Net,":[86,109],"there":[87],"are":[88,182],"two":[89],"main":[90],"improvements":[91],"proposed":[94,151],"method:":[95],"(1)":[96],"Designing":[97,120],"channel":[98,112],"multiscale":[99],"module":[100,123],"(CMM)":[101],"replace":[103],"skip-connection":[105],"layer":[106],"which":[110,129],"uses":[111],"mechanism":[114],"obtain":[116],"information.":[118,147],"(2)":[119],"spatial":[121,146],"(SMM)":[124],"dilated":[127],"convolution,":[128],"is":[130],"inserted":[131],"decoder":[134],"path":[135],"make":[137],"pay":[140],"more":[141],"We":[148],"evaluated":[149],"AM-Net":[152],"240":[154],"clinically":[155],"obtained":[156],"B-scans":[158],"4-fold":[160],"cross":[161],"validation.":[162],"The":[163],"mean":[164],"standard":[166],"deviation":[167],"Intersection":[169],"over":[170],"Union":[171],"(IoU),":[172],"Dice":[173],"Similarity":[174],"Coefficient":[175],"(DSC),":[176],"Sensitivity":[177],"(Sen)":[178],"Specificity":[180],"(Spe)":[181],"72.12\u00b1":[183],"9.60%,":[184],"79.17\u00b18.25%,":[185],"93.05\u00b11.72%":[186],"79.93\u00b15.77%,":[188],"respectively.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
