{"id":"https://openalex.org/W4399485308","doi":"https://doi.org/10.1109/access.2024.3411932","title":"Detection and Segmentation of Subdural Hemorrhage on Head CT Images","display_name":"Detection and Segmentation of Subdural Hemorrhage on Head CT Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399485308","doi":"https://doi.org/10.1109/access.2024.3411932"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3411932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3411932","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3411932","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080711237","display_name":"Tu\u011frul Hakan Gen\u00e7t\u00fcrk","orcid":"https://orcid.org/0000-0002-2736-271X"},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Tu\u011frul Hakan Gen\u00e7t\u00fcrk","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering, Kocaeli University, İzmit, Kocaeli, Turkey","Department of Computer Engineering, Faculty of Engineering, Kocaeli University, Umuttepe, Kocaeli, TURKEY"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Kocaeli University, İzmit, Kocaeli, Turkey","institution_ids":["https://openalex.org/I51826884"]},{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Kocaeli University, Umuttepe, Kocaeli, TURKEY","institution_ids":["https://openalex.org/I51826884"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059526448","display_name":"Fidan Kaya G\u00fcla\u011f\u0131z","orcid":"https://orcid.org/0000-0003-3519-9278"},"institutions":[{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"F\u0131dan Kaya G\u00fcla\u011fiz","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering, Kocaeli University, İzmit, Kocaeli, Turkey","Department of Computer Engineering, Faculty of Engineering, Kocaeli University, Umuttepe, Kocaeli, TURKEY"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Kocaeli University, İzmit, Kocaeli, Turkey","institution_ids":["https://openalex.org/I51826884"]},{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Kocaeli University, Umuttepe, Kocaeli, TURKEY","institution_ids":["https://openalex.org/I51826884"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100674046","display_name":"\u0130smail Kaya","orcid":"https://orcid.org/0000-0002-4128-5845"},"institutions":[{"id":"https://openalex.org/I198265615","display_name":"Ni\u011fde \u00d6mer Halisdemir \u00dcniversitesi","ror":"https://ror.org/03ejnre35","country_code":"TR","type":"education","lineage":["https://openalex.org/I198265615"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130sma\u0131l Kaya","raw_affiliation_strings":["Department of Neurosurgery, Faculty of Medicine, Niğde Ömer Halisdemir University, Niğde, Turkey","Department of Neurosurgery, Faculty of Medicine, Niğde Ömer Halisdemir University, Niğde, TURKEY"],"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Faculty of Medicine, Niğde Ömer Halisdemir University, Niğde, Turkey","institution_ids":["https://openalex.org/I198265615"]},{"raw_affiliation_string":"Department of Neurosurgery, Faculty of Medicine, Niğde Ömer Halisdemir University, Niğde, TURKEY","institution_ids":["https://openalex.org/I198265615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080711237"],"corresponding_institution_ids":["https://openalex.org/I51826884"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6399,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93111033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"82235","last_page":"82246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9573000073432922,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9573000073432922,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9373000264167786,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6186116933822632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6083214282989502},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5580819249153137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5454550385475159},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5032572150230408},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45926156640052795},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3427586555480957},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2793828248977661},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22163239121437073}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6186116933822632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6083214282989502},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5580819249153137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5454550385475159},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5032572150230408},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45926156640052795},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3427586555480957},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2793828248977661},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22163239121437073},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3411932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3411932","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:31c32c4e-9933-44b5-9f7e-a4aa3dff4908","is_oa":false,"landing_page_url":"https://avesis.kocaeli.edu.tr/publication/details/31c32c4e-9933-44b5-9f7e-a4aa3dff4908/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055291","display_name":"Kocaeli \u00dcniversitesi - AVES\u0130S","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:04eb9acde97e4df196a611f5f73f2999","is_oa":true,"landing_page_url":"https://doaj.org/article/04eb9acde97e4df196a611f5f73f2999","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 82235-82246 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3411932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3411932","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2753677721","https://openalex.org/W2896817483","https://openalex.org/W2912252138","https://openalex.org/W2920326761","https://openalex.org/W2943250402","https://openalex.org/W2962858109","https://openalex.org/W3000145527","https://openalex.org/W3004371585","https://openalex.org/W3018608294","https://openalex.org/W3026951093","https://openalex.org/W3035328251","https://openalex.org/W3086462707","https://openalex.org/W3086844538","https://openalex.org/W3086928989","https://openalex.org/W3089377499","https://openalex.org/W3089635656","https://openalex.org/W3089917316","https://openalex.org/W3108850355","https://openalex.org/W3110286940","https://openalex.org/W3118235341","https://openalex.org/W3129710645","https://openalex.org/W3159698700","https://openalex.org/W3190553477","https://openalex.org/W3190855684","https://openalex.org/W3196506136","https://openalex.org/W3205641095","https://openalex.org/W3207548384","https://openalex.org/W3212618360","https://openalex.org/W4206093551","https://openalex.org/W4206558379","https://openalex.org/W4220679473","https://openalex.org/W4223988860","https://openalex.org/W4296456200","https://openalex.org/W4317436377","https://openalex.org/W4319598202","https://openalex.org/W4319921239","https://openalex.org/W4324117834","https://openalex.org/W4324128255","https://openalex.org/W4353065611","https://openalex.org/W4390013825","https://openalex.org/W4392506395","https://openalex.org/W6637373629","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W3097502728","https://openalex.org/W2113206756","https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W3009949491","https://openalex.org/W1927475415","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,161,186],"today\u2019s":[1],"world,":[2],"there":[3],"has":[4,141,167,195,220],"been":[5,142],"a":[6,112,127,159,221,246,268,283],"significant":[7],"increase":[8],"in":[9,32,53,104,211,238,252,276],"the":[10,16,24,39,54,75,88,108,124,139,164,187,191,212,218,231,239,256,264,290,293],"diversity":[11],"of":[12,18,26,41,56,77,92,138,170,178,224,235,241,292],"data":[13,33,285],"sources":[14],"and":[15,50,68,81,90,134,146,158,175,202,226,233,244,270],"volume":[17],"data.":[19],"This":[20,35,72,228],"situation":[21],"especially":[22],"necessitates":[23],"use":[25],"technologies":[27],"such":[28],"as":[29],"deep":[30,47,62],"learning":[31,48],"processing.":[34],"study":[36,229],"thoroughly":[37],"examines":[38],"processing":[40],"computed":[42],"tomography":[43],"(CT)":[44],"images":[45],"with":[46,208],"models":[49],"their":[51],"role":[52],"diagnosis":[55],"brain":[57,70,93,242],"hemorrhages,":[58],"proposing":[59],"an":[60,84,156,168,176,260],"innovative":[61],"learning-based":[63],"model":[64,73,125,140,166,219,266],"for":[65,87,183,249,273],"accurately":[66],"detecting":[67],"segmenting":[69],"hemorrhages.":[71,94,122,185],"combines":[74],"architectures":[76],"Mask":[78],"Scoring":[79],"R-CNN":[80,96],"EfficientNet-B2,":[82],"offering":[83],"effective":[85],"approach":[86],"detection":[89,240],"classification":[91,113],"MS":[95],"is":[97],"used":[98],"to":[99,115,197],"detect":[100],"potential":[101,232],"hemorrhage":[102],"areas":[103,119],"CT":[105],"images,":[106],"while":[107],"EfficientNet-B2":[109],"architecture":[110],"serves":[111],"function":[114],"determine":[116],"whether":[117],"these":[118,214],"indeed":[120],"contain":[121],"Thus,":[123],"offers":[126],"two-stage":[128],"verification":[129],"process":[130],"that":[131,217],"enhances":[132],"accuracy":[133,169,177,193,225],"precision.":[135],"The":[136,279],"performance":[137],"evaluated":[143],"under":[144],"patient-based":[145,162],"random":[147,188],"partitioning":[148,189],"techniques":[149],"using":[150],"by":[151,263],"employing":[152],"two":[153],"distinct":[154],"datasets:":[155],"open-access":[157],"private.":[160],"evaluation,":[163],"proposed":[165,265],"%91.59":[171],"on":[172,180,199,204],"open":[173,200,261],"dataset":[174,182,201,262],"%90.46":[179],"private":[181,205],"SDH":[184],"method,":[190],"model\u2019s":[192],"rate":[194],"risen":[196],"%94.30":[198],"%97.33":[203],"dataset.":[206],"Compared":[207],"similar":[209],"studies":[210],"literature,":[213],"results":[215,257,280],"demonstrate":[216,289],"high":[222],"level":[223],"reliability.":[227],"highlights":[230],"importance":[234],"AI-supported":[236],"methods":[237],"hemorrhages":[243],"provides":[245],"solid":[247],"foundation":[248],"future":[250,274],"work":[251,275],"this":[253,277],"area.":[254],"Additionally,":[255],"obtained":[258,281],"from":[259,282],"offer":[267],"realistic":[269],"comparable":[271],"reference":[272],"field.":[278],"second":[284],"set":[286],"also":[287],"clearly":[288],"validity":[291],"model.":[294]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}