{"id":"https://openalex.org/W1508603936","doi":"https://doi.org/10.1109/ijcnn.2005.1556284","title":"A SVM approach for detection of hemorrhages in background diabetic retinopathy","display_name":"A SVM approach for detection of hemorrhages in background diabetic retinopathy","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1508603936","doi":"https://doi.org/10.1109/ijcnn.2005.1556284","mag":"1508603936"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556284","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5100724969","display_name":"Xiao\u2010Hui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xiaohui Zhang","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089292010","display_name":"O. Chutatape","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"O. Chutatape","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100724969"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":3.9646,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.91955836,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"2435","last_page":"2440"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.8043067455291748},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7081688046455383},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5370290279388428},{"id":"https://openalex.org/keywords/retinopathy","display_name":"Retinopathy","score":0.4785483479499817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4657505452632904},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.42547234892845154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3758606016635895},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.3628256916999817}],"concepts":[{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.8043067455291748},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7081688046455383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5370290279388428},{"id":"https://openalex.org/C2778313320","wikidata":"https://www.wikidata.org/wiki/Q550455","display_name":"Retinopathy","level":3,"score":0.4785483479499817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657505452632904},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.42547234892845154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3758606016635895},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.3628256916999817},{"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:10.1109/ijcnn.2005.1556284","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556284","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1491265947","https://openalex.org/W1519964805","https://openalex.org/W1592735339","https://openalex.org/W1651341085","https://openalex.org/W1986954767","https://openalex.org/W1989786678","https://openalex.org/W2095539364","https://openalex.org/W2102544846","https://openalex.org/W2108995755","https://openalex.org/W2124351082","https://openalex.org/W2133458583","https://openalex.org/W2137595331","https://openalex.org/W2139212933","https://openalex.org/W2158275940","https://openalex.org/W2164009590","https://openalex.org/W4252559437","https://openalex.org/W6635461197","https://openalex.org/W6680688070"],"related_works":["https://openalex.org/W3190746054","https://openalex.org/W2401570230","https://openalex.org/W2330998330","https://openalex.org/W2150699126","https://openalex.org/W943310924","https://openalex.org/W4297687594","https://openalex.org/W2253550537","https://openalex.org/W3161069591","https://openalex.org/W2612723704","https://openalex.org/W2397162419"],"abstract_inverted_index":{"Hemorrhages":[0],"are":[1],"main":[2],"evidences":[3],"of":[4,53,70,87,116],"background":[5],"diabetic":[6],"retinopathy":[7],"and":[8,93,106],"early":[9],"detection":[10],"is":[11,23,39,104,109],"essential":[12],"for":[13,36],"an":[14,33],"effective":[15],"treatment.":[16],"In":[17],"this":[18],"paper,":[19],"a":[20,84],"top-down":[21],"strategy":[22],"applied":[24,110],"to":[25,111],"detect":[26],"hemorrhages.":[27],"After":[28,61],"color":[29],"normalization":[30],"preprocessing":[31],"stage,":[32],"evidence":[34],"value":[35],"every":[37],"pixel":[38],"calculated":[40],"by":[41,49,77],"SVM.":[42],"The":[43,81],"SVM":[44,108],"classifier":[45],"uses":[46],"features":[47,56],"extracted":[48],"combined":[50],"2DPCA":[51,103],"instead":[52],"explicit":[54],"image":[55],"as":[57],"the":[58,63,66,68,71,78,91,95,100,113],"input":[59],"vector.":[60],"locating":[62],"hemorrhages":[64,72],"in":[65],"ROI,":[67],"boundaries":[69],"can":[73],"be":[74],"accurately":[75],"segmented":[76],"post-processing":[79],"stage.":[80],"paper":[82],"demonstrates":[83],"new":[85],"implementation":[86],"various":[88],"techniques":[89],"on":[90],"problem":[92],"shows":[94],"improvement":[96],"it":[97],"offers":[98],"over":[99],"others.":[101],"Combined":[102],"proposed":[105],"virtual":[107],"achieve":[112],"higher":[114],"accuracy":[115],"classification.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
