{"id":"https://openalex.org/W3131576483","doi":"https://doi.org/10.1117/12.2580699","title":"SANet: a self-adaptive network for hyperreflective foci segmentation in retinal OCT images","display_name":"SANet: a self-adaptive network for hyperreflective foci segmentation in retinal OCT images","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3131576483","doi":"https://doi.org/10.1117/12.2580699","mag":"3131576483"},"language":"en","primary_location":{"id":"doi:10.1117/12.2580699","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: 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/A5049696735","display_name":"Chenpu Yao","orcid":"https://orcid.org/0000-0002-2795-2883"},"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":"Chenpu Yao","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/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":["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/A5100377107","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0001-7882-1747"},"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":"Meng Wang","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/A5052675607","display_name":"Liangjiu Zhu","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":"Liangjiu Zhu","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/A5060482838","display_name":"Haifan Huang","orcid":"https://orcid.org/0000-0002-6310-9332"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I2799346673","display_name":"Hong Kong Eye Hospital","ror":"https://ror.org/03fttgk04","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294586568","https://openalex.org/I2799346673"]},{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Haifan Huang","raw_affiliation_strings":["Chinese Univ. of Hong Kong, Joint Shantou International Eye Ctr. (China)","Shantou Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Univ. of Hong Kong, Joint Shantou International Eye Ctr. (China)","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I2799346673"]},{"raw_affiliation_string":"Shantou Univ. (China)","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763973","display_name":"Haoyu Chen","orcid":"https://orcid.org/0000-0003-0676-4610"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I2799346673","display_name":"Hong Kong Eye Hospital","ror":"https://ror.org/03fttgk04","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294586568","https://openalex.org/I2799346673"]},{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Haoyu Chen","raw_affiliation_strings":["Chinese Univ. of Hong Kong, Joint Shantou International Eye Ctr. (China)","Shantou Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Univ. of Hong Kong, Joint Shantou International Eye Ctr. (China)","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I2799346673"]},{"raw_affiliation_string":"Shantou Univ. (China)","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","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"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0864,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86885769,"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":"103","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9757000207901001,"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/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.7089612483978271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627956032752991},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.6285151839256287},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5650877952575684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5522755980491638},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5409286022186279},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.5370466113090515},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.47298845648765564},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4675530195236206},{"id":"https://openalex.org/keywords/connectomics","display_name":"Connectomics","score":0.46097010374069214},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4572257101535797},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40856802463531494},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.38941705226898193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34128355979919434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2775542736053467},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.24343496561050415},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22089093923568726},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.15508097410202026}],"concepts":[{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.7089612483978271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627956032752991},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.6285151839256287},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5650877952575684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5522755980491638},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5409286022186279},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.5370466113090515},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.47298845648765564},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4675530195236206},{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.46097010374069214},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4572257101535797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40856802463531494},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38941705226898193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34128355979919434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2775542736053467},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.24343496561050415},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22089093923568726},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.15508097410202026},{"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/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"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/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2580699","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Processing","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2953570019","https://openalex.org/W3012828488","https://openalex.org/W3116883888","https://openalex.org/W4367019122","https://openalex.org/W4280645644","https://openalex.org/W2766422710","https://openalex.org/W4287631720","https://openalex.org/W3093926553","https://openalex.org/W4223526259","https://openalex.org/W3164075923"],"abstract_inverted_index":{"Diabetic":[0],"retinopathy":[1],"(DR)":[2],"is":[3,24,97,111,194],"the":[4,12,18,51,73,81,86,89,94,114,118,122,137,184,192,197],"most":[5],"common":[6],"chronic":[7],"complication":[8],"of":[9,28,55,117,140,145,163],"diabetes":[10],"and":[11,37,53,84,128,132,160,170,176,191],"first":[13],"blinding":[14],"eye":[15],"disease":[16],"in":[17,43,72,93,113],"working":[19],"population.":[20],"Hard":[21],"exudates":[22],"(HE)":[23],"an":[25],"obvious":[26],"symptom":[27],"diabetic":[29],"retinopathy,":[30],"which":[31,120,151],"has":[32],"high":[33],"reflectivity":[34],"to":[35,79,124,136],"light":[36],"appears":[38],"as":[39],"hyperreflective":[40],"foci":[41],"(HRF)":[42],"optical":[44],"coherence":[45],"tomography":[46],"(OCT)":[47],"images.":[48],"Based":[49],"on":[50],"research":[52],"improvement":[54],"U-Net,":[56],"this":[57],"paper":[58],"proposes":[59],"a":[60,100],"selfadaptive":[61],"network":[62,123],"(SANet)":[63],"for":[64],"HRF":[65,189],"segmentation.":[66],"There":[67],"are":[68,172],"two":[69],"main":[70],"improvements":[71],"proposed":[74,185],"SANet:":[75],"(1)":[76],"In":[77],"order":[78],"simplify":[80],"learning":[82],"process":[83],"enhance":[85],"gradient":[87],"propagation,":[88],"ordinary":[90],"convolution":[91],"block":[92],"encoder":[95],"structure":[96],"replaced":[98],"by":[99,154],"dual":[101],"residual":[102],"module":[103,109],"(DRM).":[104],"(2)":[105],"The":[106,142,158,179],"novel":[107],"self-adaptive":[108],"(SAM)":[110],"embedded":[112],"deep":[115],"layer":[116],"model,":[119],"enables":[121],"integrate":[125],"local":[126],"features":[127],"global":[129],"dependencies":[130],"adaptively,":[131],"makes":[133],"it":[134],"adapt":[135],"irregular":[138],"shape":[139],"HRF.":[141],"dataset":[143],"consists":[144],"112":[146],"2D":[147],"OCT":[148],"B-scan":[149],"images,":[150],"were":[152],"verified":[153],"four-fold":[155],"cross":[156],"validation.":[157],"mean":[159],"standard":[161],"deviation":[162],"Dice":[164],"similarity":[165],"coefficient,":[166],"Jaccard":[167],"index,":[168],"Sensitivity":[169],"Precision":[171],"73.69\u00b10.72%,":[173],"59.17\u00b11.00%,":[174],"74.57\u00b11.16%":[175],"75.54\u00b11.35%,":[177],"respectively.":[178],"experimental":[180],"results":[181],"show":[182],"that":[183],"method":[186],"can":[187],"segment":[188],"successfully":[190],"performance":[193],"better":[195],"than":[196],"original":[198],"U-Net.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}