{"id":"https://openalex.org/W3010505797","doi":"https://doi.org/10.1117/12.2549221","title":"Deep semantic segmentation of Diabetic Retinopathy lesions: what metrics really tell us","display_name":"Deep semantic segmentation of Diabetic Retinopathy lesions: what metrics really tell us","publication_year":2020,"publication_date":"2020-03-03","ids":{"openalex":"https://openalex.org/W3010505797","doi":"https://doi.org/10.1117/12.2549221","mag":"3010505797"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549221","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","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/A5049382757","display_name":"Pedro Furtado","orcid":"https://orcid.org/0000-0001-6054-637X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Pedro Furtado","raw_affiliation_strings":["Univ. de Coimbra (Portugal)"],"affiliations":[{"raw_affiliation_string":"Univ. de Coimbra (Portugal)","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049382757"],"corresponding_institution_ids":["https://openalex.org/I76903346"],"apc_list":null,"apc_paid":null,"fwci":0.3304,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61254894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"21"},"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":0.9959999918937683,"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":0.9887999892234802,"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/segmentation","display_name":"Segmentation","score":0.876338005065918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7812882661819458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7304806709289551},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6944131851196289},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.6729853749275208},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.6077831983566284},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5234729051589966},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5151016116142273},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4472426772117615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41407328844070435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3733571469783783},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10479244589805603},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.10251417756080627},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.0878717303276062}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.876338005065918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812882661819458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7304806709289551},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6944131851196289},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.6729853749275208},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.6077831983566284},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5234729051589966},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5151016116142273},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4472426772117615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41407328844070435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3733571469783783},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10479244589805603},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.10251417756080627},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.0878717303276062},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2549221","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","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/W1980571360","https://openalex.org/W3176448898","https://openalex.org/W4379115808","https://openalex.org/W3207986206","https://openalex.org/W2429379476","https://openalex.org/W1979866946","https://openalex.org/W4226141369","https://openalex.org/W3081392993","https://openalex.org/W2413307231","https://openalex.org/W4361800274"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,21,52,103],"lesions":[2,63,79],"in":[3,30,80],"eye":[4],"fundus":[5],"images":[6],"(EFI)":[7],"is":[8],"a":[9],"difficult":[10],"problem,":[11],"due":[12],"to":[13,37,41,77,95],"small":[14],"sizes,":[15],"varying":[16],"morphologies,":[17],"similarities":[18],"and":[19,71,88,98],"lack":[20],"contrast.":[22],"Today,":[23],"deep":[24,73],"learning":[25],"segmentation":[26,32,74],"architectures":[27],"are":[28],"state-of-the-art":[29],"most":[31],"tasks.":[33],"But":[34],"metrics":[35,90],"need":[36],"be":[38,93],"interpreted":[39,94],"adequately":[40],"avoid":[42,96],"wrong":[43],"conclusions,":[44],"e.g.":[45],"we":[46,69,106],"show":[47],"that":[48,112],"90%":[49],"global":[50],"accuracy":[51],"the":[53,81,101],"Fully":[54],"Convolutional":[55],"Network":[56],"(FCN)":[57],"does":[58],"not":[59],"mean":[60],"it":[61],"segments":[62],"very":[64],"well.":[65],"In":[66,100],"this":[67,104],"work":[68],"test":[70],"compare":[72],"networks":[75],"applied":[76],"find":[78],"Eye":[82],"Fundus":[83],"Images,":[84],"focusing":[85],"on":[86],"comparison":[87],"how":[89],"really":[91],"should":[92],"mistakes":[97],"why.":[99],"light":[102],"analysis,":[105],"finalize":[107],"by":[108],"discussing":[109],"further":[110],"challenges":[111],"lie":[113],"ahead.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
