{"id":"https://openalex.org/W3002307619","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965926","title":"Segmentaion of Parapapillary Atrophy in Retinal Images using HED","display_name":"Segmentaion of Parapapillary Atrophy in Retinal Images using HED","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002307619","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965926","mag":"3002307619"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5083784063","display_name":"Yunlong Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I1294606314","display_name":"Beijing Tongren Hospital","ror":"https://ror.org/013e4n276","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294606314"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunlong Feng","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032933291","display_name":"Hanxiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1294606314","display_name":"Beijing Tongren Hospital","ror":"https://ror.org/013e4n276","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294606314"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanxiang Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003488506","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0002-2039-7055"},"institutions":[{"id":"https://openalex.org/I1294606314","display_name":"Beijing Tongren Hospital","ror":"https://ror.org/013e4n276","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294606314"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100778076","display_name":"Huiqi Li","orcid":"https://orcid.org/0000-0002-8720-3374"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I1294606314","display_name":"Beijing Tongren Hospital","ror":"https://ror.org/013e4n276","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294606314"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiqi Li","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital,Beijing,China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083784063"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I1294606314"],"apc_list":null,"apc_paid":null,"fwci":0.1693,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58590429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9993000030517578,"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":0.9955999851226807,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7533677816390991},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6571414470672607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544438600540161},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6141637563705444},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.566730797290802},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5138452649116516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4969063103199005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49087053537368774},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.45055651664733887},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.43391188979148865},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4181991219520569},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.24866923689842224},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24745586514472961},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22803860902786255},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1824398934841156}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7533677816390991},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6571414470672607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544438600540161},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6141637563705444},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.566730797290802},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5138452649116516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4969063103199005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49087053537368774},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.45055651664733887},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.43391188979148865},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4181991219520569},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.24866923689842224},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24745586514472961},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22803860902786255},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1824398934841156},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W102589510","https://openalex.org/W1602356296","https://openalex.org/W1686810756","https://openalex.org/W1949479385","https://openalex.org/W1975630810","https://openalex.org/W1982815927","https://openalex.org/W2056820089","https://openalex.org/W2145414079","https://openalex.org/W2156525185","https://openalex.org/W2607333215","https://openalex.org/W2811207365","https://openalex.org/W6604194538","https://openalex.org/W6636007110","https://openalex.org/W6640841246"],"related_works":["https://openalex.org/W4247543202","https://openalex.org/W4243456421","https://openalex.org/W2417397217","https://openalex.org/W2355857550","https://openalex.org/W3093256375","https://openalex.org/W1841421040","https://openalex.org/W2896815346","https://openalex.org/W3028882978","https://openalex.org/W1487766990","https://openalex.org/W2116510815"],"abstract_inverted_index":{"Parapapillary":[0],"atrophy":[1],"(PPA)":[2],"is":[3,24],"a":[4,38,51,109],"kind":[5],"of":[6,9,29,35,44,80,118,163,178,183,187],"atrophic":[7],"abnormality":[8],"eyes,":[10],"which":[11,71],"lies":[12],"on":[13,104,140,151,165,173],"the":[14,33,42,119,123,160,179],"retinal":[15,59,141],"fundus":[16],"adjacent":[17],"to":[18,96,113],"optic":[19],"disc":[20],"(OD).":[21],"Clinically,":[22],"PPA":[23,36,57],"correlated":[25],"with":[26,41,74,101,143],"several":[27],"pathologies":[28],"eyes.":[30],"For":[31],"example,":[32],"area":[34,120,128],"has":[37],"strong":[39],"association":[40],"severity":[43],"myopia.":[45],"In":[46],"this":[47],"work,":[48],"we":[49],"developed":[50],"new":[52,110],"segmentation":[53,180],"algorithm":[54],"aimed":[55],"at":[56],"in":[58,88],"images.":[60],"The":[61,137],"frame":[62],"work":[63],"was":[64],"derived":[65],"from":[66,145],"Holistically-Nested":[67],"Edge":[68],"Detection":[69],"(HED),":[70],"originally":[72],"deals":[73],"edge":[75],"detection.":[76],"Firstly,":[77],"extracting":[78],"region":[79],"interest":[81],"(ROI)":[82],"and":[83,154,171,185],"normalizing":[84],"datasets":[85],"were":[86,130],"performed":[87,131],"preprocessing":[89],"stage.":[90],"Next,":[91],"an":[92],"end-to-end":[93],"model":[94,138],"began":[95],"acquire":[97],"rich":[98],"hierarchical":[99],"features":[100],"deep":[102],"supervision":[103],"side":[105],"outputs.":[106],"We":[107],"applied":[108],"balance":[111],"parameter":[112],"loss":[114],"function":[115],"for":[116],"realization":[117],"segmentation.":[121],"Finally,":[122],"holistic":[124],"image":[125],"predictions":[126],"(PPA":[127],"segmented)":[129],"through":[132],"full":[133],"convolutional":[134],"neural":[135],"layers.":[136],"training":[139],"images":[142],"annotation":[144],"professional":[146],"ophthalmologist":[147],"achieves":[148],"great":[149],"performance":[150],"both":[152],"adults":[153,184],"pupils":[155],"datasets.":[156],"Experiential":[157],"results":[158],"present":[159],"average":[161],"F-score":[162],"0.7910":[164],"adults'":[166],"test":[167],"data":[168],"(200":[169],"images)":[170],"0.7478":[172],"pupils'":[174],"(50":[175],"images).":[176],"MIoU":[177],"reaches":[181],"0.7237":[182],"0.6892":[186],"pupils.":[188]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
