{"id":"https://openalex.org/W4383876894","doi":"https://doi.org/10.1002/ima.22929","title":"An efficient deep learning algorithm for the segmentation of cardiac ventricles","display_name":"An efficient deep learning algorithm for the segmentation of cardiac ventricles","publication_year":2023,"publication_date":"2023-07-11","ids":{"openalex":"https://openalex.org/W4383876894","doi":"https://doi.org/10.1002/ima.22929"},"language":"en","primary_location":{"id":"doi:10.1002/ima.22929","doi":"https://doi.org/10.1002/ima.22929","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.22929","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5092296345","display_name":"S. Ciyamala Kushbu","orcid":"https://orcid.org/0000-0002-7578-3818","observed_orcids":["https://orcid.org/0000-0002-7578-3818"]},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ciyamala Kushbu Sadhanandan","raw_affiliation_strings":["Information and Communication Engineering Anna University Chennai India"],"raw_orcid":"https://orcid.org/0000-0002-7578-3818","affiliations":[{"raw_affiliation_string":"Information and Communication Engineering Anna University Chennai India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054907344","display_name":"Inbamalar Tharcis Mariapushpam","orcid":"https://orcid.org/0000-0002-8926-8884","observed_orcids":["https://orcid.org/0000-0002-8926-8884"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Inbamalar Tharcis Mariapushpam","raw_affiliation_strings":["Department of Electronics and Communication Engineering R.M.K College of Engineering and Technology Puduvoyal India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering R.M.K College of Engineering and Technology Puduvoyal India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012851349","display_name":"Sudha Suresh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4404532908","display_name":"Easwari Engineering College","ror":"https://ror.org/01aams644","country_code":"IN","type":"education","lineage":["https://openalex.org/I4404532908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudha Suresh","raw_affiliation_strings":["Department of Electronics and Communication Engineering Easwari Engineering College Chennai India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering Easwari Engineering College Chennai India","institution_ids":["https://openalex.org/I4404532908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092296345"],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.6631,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63281673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"33","issue":"6","first_page":"2044","last_page":"2060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9951000213623047,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.0006000000284984708,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0005000000237487257,"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/right-ventricle","display_name":"right ventricle","score":0.8429999947547913},{"id":"https://openalex.org/keywords/unet3","display_name":"UNet3+","score":0.7160000205039978},{"id":"https://openalex.org/keywords/salience","display_name":"salience","score":0.6290000081062317},{"id":"https://openalex.org/keywords/snakes","display_name":"snakes","score":0.9779999852180481},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.9319999814033508},{"id":"https://openalex.org/keywords/computer-aided-design","display_name":"computer-aided design","score":0.6930000185966492},{"id":"https://openalex.org/keywords/cardiovascular-disease-diagnosis","display_name":"cardiovascular disease diagnosis","score":0.8410000205039978},{"id":"https://openalex.org/keywords/cardiac-mri","display_name":"cardiac MRI","score":0.453000009059906}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8205680251121521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7104595899581909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6109409332275391},{"id":"https://openalex.org/C2778921608","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Ventricle","level":2,"score":0.6065375804901123},{"id":"https://openalex.org/C2910288590","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Cardiac Ventricle","level":3,"score":0.6010985970497131},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.555961012840271},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.49714258313179016},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4859255850315094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43193820118904114},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.41036534309387207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38803157210350037},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.16228872537612915},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14811119437217712},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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:10.1002/ima.22929","doi":"https://doi.org/10.1002/ima.22929","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.22929","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5683000087738037,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W804074387","https://openalex.org/W1901129140","https://openalex.org/W1965393998","https://openalex.org/W1983311676","https://openalex.org/W1987512289","https://openalex.org/W2032051785","https://openalex.org/W2059240422","https://openalex.org/W2060128769","https://openalex.org/W2073221826","https://openalex.org/W2121807622","https://openalex.org/W2130531442","https://openalex.org/W2149309532","https://openalex.org/W2158806756","https://openalex.org/W2274227799","https://openalex.org/W2337438617","https://openalex.org/W2588773529","https://openalex.org/W2613409877","https://openalex.org/W2798122215","https://openalex.org/W2883475966","https://openalex.org/W2891759811","https://openalex.org/W2918363349","https://openalex.org/W2956767972","https://openalex.org/W2963395421","https://openalex.org/W2964212292","https://openalex.org/W3012144840","https://openalex.org/W3025800305","https://openalex.org/W3127751679","https://openalex.org/W3138516171","https://openalex.org/W3151047463","https://openalex.org/W3163034495","https://openalex.org/W4212875960","https://openalex.org/W4220718606","https://openalex.org/W4224988908","https://openalex.org/W4229454848","https://openalex.org/W4283688869","https://openalex.org/W4285104462","https://openalex.org/W4384159609","https://openalex.org/W4390345094"],"related_works":["https://openalex.org/W2996016140","https://openalex.org/W2794399231","https://openalex.org/W4388999645","https://openalex.org/W4309362081","https://openalex.org/W3138482620","https://openalex.org/W3008718520","https://openalex.org/W2899006596","https://openalex.org/W6949406935","https://openalex.org/W4285104462","https://openalex.org/W4386984106"],"abstract_inverted_index":{"Abstract":[0],"For":[1],"the":[2,13,22,51,55,66,70,75,97,100,138],"effective":[3,87],"diagnosis":[4],"of":[5,12,25,57,69,77,81,99],"cardio":[6],"vascular":[7],"disease":[8],"(CVD),":[9],"anatomical":[10],"characteristics":[11],"heart":[14,71],"must":[15],"be":[16],"examined,":[17],"which":[18,102,132],"depends":[19],"on":[20],"segmenting":[21],"cardiac":[23,121],"tissues":[24],"interest":[26],"and":[27,74,89],"then":[28],"classifying":[29],"them":[30],"into":[31],"appropriate":[32],"pathological":[33],"groups.":[34],"In":[35],"recent":[36],"years,":[37],"deep":[38],"learning":[39],"(DL)\u2010based":[40],"computer":[41],"aided":[42],"design":[43],"(CAD)":[44],"segmentation":[45,52,139],"has":[46],"been":[47],"employed":[48],"to":[49,65,95],"automate":[50],"process.":[53,140],"Despite":[54],"evolution":[56],"several":[58],"DL":[59],"methods,":[60],"they":[61],"still":[62],"fail":[63],"due":[64],"shape":[67],"variation":[68],"in":[72,129,136],"patients":[73],"availability":[76],"a":[78,104],"limited":[79],"amount":[80],"data.":[82],"This":[83],"paper":[84],"proposes":[85],"an":[86,112],"Saliency":[88],"Active":[90],"Contour\u2010based":[91],"Attention":[92],"UNet3+":[93],"algorithm":[94,124],"segment":[96],"ventricles":[98],"heart,":[101],"is":[103],"challenging":[105],"task":[106],"for":[107],"most":[108],"researchers,":[109],"especially":[110],"with":[111],"irregularly":[113],"shaped":[114],"right":[115],"ventricle":[116],"(RV)":[117],"that":[118],"varies":[119],"over":[120],"phases.":[122],"The":[123],"outperforms":[125],"other":[126],"state\u2010of\u2010the\u2010art":[127],"methods":[128],"DC":[130],"metrics,":[131],"proves":[133],"its":[134],"efficiency":[135],"automating":[137]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-07-12T00:00:00"}
