{"id":"https://openalex.org/W2736037110","doi":"https://doi.org/10.23919/mipro.2017.7973587","title":"Segmentation of kidneys and abdominal images in mobile devices with the Android operating system by using the Connected Component Labeling method","display_name":"Segmentation of kidneys and abdominal images in mobile devices with the Android operating system by using the Connected Component Labeling method","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736037110","doi":"https://doi.org/10.23919/mipro.2017.7973587","mag":"2736037110"},"language":"en","primary_location":{"id":"doi:10.23919/mipro.2017.7973587","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2017.7973587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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/A5004319915","display_name":"Seda Arslan Tuncer","orcid":"https://orcid.org/0000-0001-6472-8306"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Seda Arslan Tuncer","raw_affiliation_strings":["Firat Universitesi, Elazig, TR"],"affiliations":[{"raw_affiliation_string":"Firat Universitesi, Elazig, TR","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014596039","display_name":"Ahmet Alkan","orcid":"https://orcid.org/0000-0003-0857-0764"},"institutions":[{"id":"https://openalex.org/I46017","display_name":"Kahramanmara\u015f S\u00fct\u00e7\u00fc \u0130mam University","ror":"https://ror.org/03gn5cg19","country_code":"TR","type":"education","lineage":["https://openalex.org/I46017"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet Alkan","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkey","institution_ids":["https://openalex.org/I46017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004319915"],"corresponding_institution_ids":["https://openalex.org/I143396566"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44950365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1094","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9901999831199646,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9790999889373779,"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":0.9541000127792358,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7860854864120483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687677264213562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6729201078414917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.612310528755188},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5240707397460938},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4871980547904968},{"id":"https://openalex.org/keywords/connected-component-labeling","display_name":"Connected-component labeling","score":0.46561217308044434},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.33370548486709595}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7860854864120483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687677264213562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6729201078414917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.612310528755188},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5240707397460938},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4871980547904968},{"id":"https://openalex.org/C58737948","wikidata":"https://www.wikidata.org/wiki/Q3136397","display_name":"Connected-component labeling","level":5,"score":0.46561217308044434},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.33370548486709595},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro.2017.7973587","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2017.7973587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2034656920","https://openalex.org/W2041995828","https://openalex.org/W2118386984","https://openalex.org/W2120612445","https://openalex.org/W2243073304"],"related_works":["https://openalex.org/W2103507220","https://openalex.org/W2551987074","https://openalex.org/W2750017896","https://openalex.org/W80586315","https://openalex.org/W2135547413","https://openalex.org/W1538326369","https://openalex.org/W154206032","https://openalex.org/W2508019594","https://openalex.org/W1998145955","https://openalex.org/W2300315848"],"abstract_inverted_index":{"The":[0,155,173],"purpose":[1],"of":[2,8,38,46,52,55,83,92,108,127,158],"this":[3,62],"study":[4,160],"was":[5,68,87,95,116],"the":[6,15,21,36,42,44,50,56,71,81,84,90,93,106,109,113,119,122,125,128,137,140,143,149,159,163,178],"segmentation":[7,25,73,110,184],"kidneys":[9],"and":[10,17,49,89],"abdominal":[11,27,75],"images":[12,28],"to":[13,18,35,104,136,169],"assist":[14],"diagnosis":[16],"focus":[19],"on":[20,166],"required":[22],"area.":[23],"Kidney":[24],"from":[26],"is":[29,181],"not":[30],"an":[31],"easy":[32],"task":[33],"due":[34],"proximity":[37],"those":[39],"organs":[40],"in":[41,58,74,121],"image,":[43],"similarity":[45],"organ":[47],"tissues":[48],"occurrence":[51],"different":[53],"properties":[54],"image":[57],"each":[59],"cross-section.":[60],"In":[61,139],"study,":[63],"a":[64,167,170,182],"fully":[65],"automatic":[66],"approach":[67,86],"suggested":[69,85,123,179],"for":[70],"kidney":[72,144,183],"computed":[76],"tomography":[77],"(CT)":[78],"images.":[79,138],"Both":[80],"success":[82],"tested":[88],"performance":[91],"process":[94,185],"evaluated.":[96],"Area":[97],"Error":[98],"Rate":[99],"(AER)":[100],"criteria":[101],"were":[102,131,146],"used":[103,117],"reveal":[105,176],"accuracy":[107],"operation.":[111],"Because":[112],"vertebral":[114,129],"column":[115,130],"as":[118],"reference":[120],"approach,":[124],"coordinates":[126],"determined":[132],"by":[133],"applying":[134],"pre-processing":[135],"second":[141],"step,":[142],"areas":[145],"obtained":[147,175],"using":[148],"Connected":[150],"Component":[151],"Labeling":[152],"(CCL)":[153],"method.":[154],"final":[156],"step":[157],"included":[161],"transferring":[162],"operations":[164],"performed":[165],"PC":[168],"mobile":[171],"platform.":[172],"results":[174],"that":[177,186],"methodology":[180],"experts":[187],"can":[188],"use.":[189]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
