{"id":"https://openalex.org/W4399582001","doi":"https://doi.org/10.1201/9781003471059-55","title":"Retinal vessel segmentation using morphological operations","display_name":"Retinal vessel segmentation using morphological operations","publication_year":2024,"publication_date":"2024-06-12","ids":{"openalex":"https://openalex.org/W4399582001","doi":"https://doi.org/10.1201/9781003471059-55"},"language":"en","primary_location":{"id":"doi:10.1201/9781003471059-55","doi":"https://doi.org/10.1201/9781003471059-55","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1201/9781003471059-55","pdf_url":"https://api.taylorfrancis.com/content/chapters/oa-edit/download?identifierName=doi&identifierValue=10.1201/9781003471059-55&type=chapterpdf","source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Data Science and Smart Systems","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4399583384","display_name":"Applied Data Science and Smart Systems"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://api.taylorfrancis.com/content/chapters/oa-edit/download?identifierName=doi&identifierValue=10.1201/9781003471059-55&type=chapterpdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099105212","display_name":"Vishali Shapar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210136518","display_name":"Maharaja Ranjit Singh Punjab Technical University","ror":"https://ror.org/03k7qz240","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210136518"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vishali Shapar","raw_affiliation_strings":["GZSCCET, MRSPTU BATHINDA, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GZSCCET, MRSPTU BATHINDA, Punjab, India","institution_ids":["https://openalex.org/I4210136518"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061362813","display_name":"Jyoti Rani","orcid":"https://orcid.org/0000-0001-6536-1147","observed_orcids":["https://orcid.org/0000-0001-6536-1147"]},"institutions":[{"id":"https://openalex.org/I4210136518","display_name":"Maharaja Ranjit Singh Punjab Technical University","ror":"https://ror.org/03k7qz240","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210136518"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyoti Rani","raw_affiliation_strings":["GZSCCET, MRSPTU BATHINDA, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GZSCCET, MRSPTU BATHINDA, Punjab, India","institution_ids":["https://openalex.org/I4210136518"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136518"],"apc_list":null,"apc_paid":null,"fwci":3.6091,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9000602,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"424","last_page":"429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14384","display_name":"Ophthalmology and Visual Health Research","score":0.0,"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/retinal-vessel-segmentation","display_name":"retinal vessel segmentation","score":0.9959999918937683},{"id":"https://openalex.org/keywords/fundus-images","display_name":"fundus images","score":0.9789999723434448},{"id":"https://openalex.org/keywords/multilevel-thresholding","display_name":"multilevel thresholding","score":0.9580000042915344},{"id":"https://openalex.org/keywords/tsallis-entropy","display_name":"Tsallis entropy","score":0.9739999771118164},{"id":"https://openalex.org/keywords/morphological-operations","display_name":"morphological operations","score":0.953000009059906},{"id":"https://openalex.org/keywords/illumination-compensation","display_name":"illumination compensation","score":0.9549999833106995},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"adaptive histogram equalization","score":0.9929999709129333},{"id":"https://openalex.org/keywords/blood-vessel-detection","display_name":"blood vessel detection","score":0.8450000286102295}],"concepts":[{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5660744905471802},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4954472780227661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48090291023254395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40932780504226685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40754660964012146},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.2214793860912323},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11734011769294739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781003471059-55","doi":"https://doi.org/10.1201/9781003471059-55","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1201/9781003471059-55","pdf_url":"https://api.taylorfrancis.com/content/chapters/oa-edit/download?identifierName=doi&identifierValue=10.1201/9781003471059-55&type=chapterpdf","source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Data Science and Smart Systems","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1201/9781003471059-55","doi":"https://doi.org/10.1201/9781003471059-55","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1201/9781003471059-55","pdf_url":"https://api.taylorfrancis.com/content/chapters/oa-edit/download?identifierName=doi&identifierValue=10.1201/9781003471059-55&type=chapterpdf","source":{"id":"https://openalex.org/S4306463075","display_name":"CRC Press eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320584","host_organization_name":"CRC Press","host_organization_lineage":["https://openalex.org/P4310320584","https://openalex.org/P4310320547"],"host_organization_lineage_names":["CRC Press","Taylor & Francis"],"type":"ebook platform"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Data Science and Smart Systems","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.428600013256073,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399582001.pdf","grobid_xml":"https://content.openalex.org/works/W4399582001.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1748717780","https://openalex.org/W1928588822","https://openalex.org/W2010976002","https://openalex.org/W2019308941","https://openalex.org/W2045227075","https://openalex.org/W2051392423","https://openalex.org/W2076705627","https://openalex.org/W2080639449","https://openalex.org/W2100756624","https://openalex.org/W2116040950","https://openalex.org/W2118823856","https://openalex.org/W2129534965","https://openalex.org/W2147336363","https://openalex.org/W2152410740","https://openalex.org/W2153608551","https://openalex.org/W2166524747","https://openalex.org/W2171459511","https://openalex.org/W3126924113","https://openalex.org/W4246199481"],"related_works":["https://openalex.org/W3088304166","https://openalex.org/W3009758711","https://openalex.org/W4281683374","https://openalex.org/W4393342799","https://openalex.org/W7218253025","https://openalex.org/W2033736290","https://openalex.org/W3109311838","https://openalex.org/W7002302889","https://openalex.org/W2081641419","https://openalex.org/W2896426467"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"an":[3,88],"optimized":[4],"multi-level":[5,41],"thresholding":[6,42],"technique":[7,93],"for":[8],"the":[9,45,63,66],"retinal":[10,103],"vessel":[11,32],"segmentation":[12,35],"in":[13,69,98],"fundus":[14],"images.":[15,52,104],"The":[16,34,74,91],"proposed":[17,67,92],"methodology":[18],"involves":[19],"pre-processing":[20],"steps":[21],"such":[22],"as":[23],"illumination":[24],"compensation":[25],"and":[26,44,58,80,101],"adaptive":[27],"histogram":[28],"equalization":[29],"to":[30,83,87],"enhance":[31],"visibility.":[33],"is":[36],"performed":[37],"using":[38,49],"a":[39],"Tsallis-based":[40],"algorithm,":[43],"results":[46,97],"are":[47,60,81],"evaluated":[48],"ground":[50],"truth":[51],"Performance":[53],"metrics":[54],"including":[55],"sensitivity,":[56],"specificity,":[57,78],"accuracy":[59],"calculated,":[61],"demonstrating":[62],"effectiveness":[64],"of":[65,77],"method":[68],"detecting":[70],"blood":[71],"vessels":[72],"accurately.":[73],"average":[75],"values":[76],"sensitivity":[79],"found":[82],"be":[84],"higher":[85],"compared":[86],"existing":[89],"method.":[90],"also":[94],"shows":[95],"promising":[96],"differentiating":[99],"normal":[100],"abnormal":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2024-06-13T00:00:00"}
