{"id":"https://openalex.org/W4286277855","doi":"https://doi.org/10.1109/ist55454.2022.9827772","title":"Activation Function Selection for U-net Multi-structures Segmentation of End-Diastole and End-Systole Frames of Cine Cardiac MRI","display_name":"Activation Function Selection for U-net Multi-structures Segmentation of End-Diastole and End-Systole Frames of Cine Cardiac MRI","publication_year":2022,"publication_date":"2022-06-21","ids":{"openalex":"https://openalex.org/W4286277855","doi":"https://doi.org/10.1109/ist55454.2022.9827772"},"language":"en","primary_location":{"id":"doi:10.1109/ist55454.2022.9827772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist55454.2022.9827772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066399162","display_name":"Riandini","orcid":null},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]},{"id":"https://openalex.org/I2799392579","display_name":"Jakarta State Polytechnic","ror":"https://ror.org/04v8qfb10","country_code":"ID","type":"education","lineage":["https://openalex.org/I2799392579"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Riandini","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","Dept. of Electrical Engineering, Polteknik Negeri Jakarta, Depok, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Polteknik Negeri Jakarta, Depok, Indonesia","institution_ids":["https://openalex.org/I2799392579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103152092","display_name":"I Ketut Eddy Purnama","orcid":"https://orcid.org/0000-0002-7438-7880"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"I Ketut Eddy Purnama","raw_affiliation_strings":["University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering Dept. of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Dept. of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036919699","display_name":"Eko Mulyanto Yuniarno","orcid":"https://orcid.org/0000-0003-1243-3025"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eko Mulyanto Yuniarno","raw_affiliation_strings":["University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering Dept. of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Dept. of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mauridhi Hery Purnomo","raw_affiliation_strings":["University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering Dept. of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Dept. of Computer Engineering, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS) Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9892,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70522749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9175000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6178398728370667},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6051263213157654},{"id":"https://openalex.org/keywords/ventricle","display_name":"Ventricle","score":0.6035088300704956},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4867541790008545},{"id":"https://openalex.org/keywords/systole","display_name":"Systole","score":0.4568508267402649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4511040449142456},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4437254071235657},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.436013400554657},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42073577642440796},{"id":"https://openalex.org/keywords/diastole","display_name":"Diastole","score":0.40429407358169556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.320588618516922},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3140343427658081},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.18357017636299133},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.08228012919425964}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6178398728370667},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6051263213157654},{"id":"https://openalex.org/C2778921608","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Ventricle","level":2,"score":0.6035088300704956},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4867541790008545},{"id":"https://openalex.org/C169554166","wikidata":"https://www.wikidata.org/wiki/Q496359","display_name":"Systole","level":4,"score":0.4568508267402649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4511040449142456},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4437254071235657},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.436013400554657},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42073577642440796},{"id":"https://openalex.org/C57900726","wikidata":"https://www.wikidata.org/wiki/Q492905","display_name":"Diastole","level":3,"score":0.40429407358169556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.320588618516922},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3140343427658081},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.18357017636299133},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.08228012919425964}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ist55454.2022.9827772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist55454.2022.9827772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327937","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1503836537","https://openalex.org/W2316795626","https://openalex.org/W2492404192","https://openalex.org/W2593228870","https://openalex.org/W2800423036","https://openalex.org/W2803176574","https://openalex.org/W2804047627","https://openalex.org/W2891954369","https://openalex.org/W2919456470","https://openalex.org/W2962807789","https://openalex.org/W2973058195","https://openalex.org/W2979811391","https://openalex.org/W2981923436","https://openalex.org/W3008159865","https://openalex.org/W3009563704","https://openalex.org/W3043379777","https://openalex.org/W3098795775","https://openalex.org/W3122047039","https://openalex.org/W3136131688","https://openalex.org/W3181737433","https://openalex.org/W4287825185","https://openalex.org/W4288257146"],"related_works":["https://openalex.org/W2052723448","https://openalex.org/W2040060471","https://openalex.org/W2410437677","https://openalex.org/W2312780947","https://openalex.org/W2342485342","https://openalex.org/W3033827510","https://openalex.org/W2049998042","https://openalex.org/W2352745255","https://openalex.org/W2568471411","https://openalex.org/W2012963936"],"abstract_inverted_index":{"Heart":[0,4],"disease,":[1],"especially":[2,134],"Coronary":[3],"Disease":[5],"(CHD)":[6],"is":[7,27,117,181,203,254,259,269],"a":[8,43,187],"major":[9],"cause":[10],"of":[11,18,31,52,62,80,90,131,147,158,190,282],"morbidity":[12],"and":[13,67,96,137,163,221,234,252],"mortality":[14],"in":[15,23,40,45,59,108,135,174,264,289],"all":[16],"corners":[17],"the":[19,28,50,53,73,77,81,109,121,129,145,176,194,210,215,218,222,247,265,283,287],"world.":[20],"In":[21,70],"Indonesia":[22],"particular,":[24],"this":[25,71,235],"disease":[26],"highest":[29],"burden":[30],"government":[32],"financing.":[33],"The":[34,112,140],"heart":[35,63],"as":[36],"an":[37,156,290],"important":[38],"organ":[39],"humans":[41],"has":[42],"complexity":[44],"its":[46],"structure,":[47],"for":[48,160,230,245,273,276],"example,":[49],"appearance":[51],"left":[54],"ventricle":[55],"will":[56],"look":[57],"different":[58],"two":[60],"phases":[61],"rate,":[64],"End-Diastole":[65],"(ED)":[66],"End-Systole":[68],"(ES).":[69],"study,":[72],"discussion":[74],"focuses":[75],"on":[76,120],"multi-structures":[78,284],"segmentation":[79,115,180],"2017":[82],"ACDC":[83],"public":[84],"cine":[85],"cardiac":[86],"MRI":[87],"dataset":[88],"consisting":[89],"training":[91,110],"data":[92,98],"from":[93,99,178],"100":[94],"patients":[95],"test":[97],"50":[100],"patients.":[101],"Annotations":[102],"made":[103],"by":[104,125,278],"experts":[105],"are":[106],"included":[107],"data.":[111],"Deep":[113],"Learning":[114],"model":[116],"built":[118],"based":[119],"2D":[122],"U-net":[123],"architecture":[124],"taking":[126],"into":[127],"account":[128],"selection":[130],"activation":[132,149],"functions,":[133],"ED":[136,162,169,231,241],"ES":[138,164],"frames.":[139],"experimental":[141],"results":[142,152],"show":[143],"that":[144],"use":[146],"ReLU":[148,198,233,251],"gives":[150],"better":[151,200],"than":[153,168,206,240],"MISH":[154,253],"with":[155,170,186,232,242],"accuracy":[157],"99%":[159],"both":[161],"frames,":[165],"2%":[166],"higher":[167,239],"MISH.":[171,208,243],"Furthermore,":[172,209],"although":[173],"general":[175],"loss":[177,195],"multiclass":[179],"said":[182],"to":[183,197,227,271,292],"be":[184,228],"good":[185],"value":[188,236],"range":[189],"10":[191],"\u2013":[192],"2,":[193],"due":[196],"shows":[199],"results,":[201],"which":[202,258],"0.02":[204],"lower":[205],"0.04":[207],"mean":[211,248],"IoU":[212,249],"value,":[213],"quantifying":[214],"similarity":[216],"between":[217,250],"original":[219],"image":[220],"predicted":[223],"image,":[224],"was":[225,237],"found":[226],"0.815":[229],"0.2":[238],"As":[244,262],"ES,":[246],"not":[255],"much":[256],"different,":[257],"around":[260],"0.7.":[261],"sustainability,":[263],"next":[266],"research,":[267],"it":[268],"necessary":[270],"search":[272],"known":[274],"method":[275],"classifying":[277],"right":[279],"each":[280],"part":[281],"heart,":[285],"particularly":[286],"myocardium,":[288],"effort":[291],"help":[293],"diagnose":[294],"CHD":[295],"cases.":[296]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}