{"id":"https://openalex.org/W1890531352","doi":null,"title":"Segmentation of Medical Images, Applications in Echocardiography and Nuclear Medicine","display_name":"Segmentation of Medical Images, Applications in Echocardiography and Nuclear Medicine","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1890531352","mag":"1890531352"},"language":"en","primary_location":{"id":"pmh:oai:lup.lub.lu.se:ef27baa5-d1b5-4399-86db-bdceaa9b12bd","doi":null,"is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/4360371","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5004550815","display_name":"Matilda Landgren","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Landgren, Matilda","raw_affiliation_strings":["Mathematics (Faculty of Engineering)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics (Faculty of Engineering)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5004550815"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2567,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60837736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":1.0,"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":1.0,"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":0.0,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/medical-image-segmentation","display_name":"medical image segmentation","score":0.9860000014305115},{"id":"https://openalex.org/keywords/echocardiography","display_name":"echocardiography","score":0.8859999775886536},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"nuclear medicine","score":0.8169999718666077},{"id":"https://openalex.org/keywords/radionuclide-imaging","display_name":"scintigraphy","score":0.8130000233650208},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"active shape model","score":0.8529999852180481},{"id":"https://openalex.org/keywords/left-ventricle-segmentation","display_name":"left ventricle segmentation","score":0.8759999871253967},{"id":"https://openalex.org/keywords/region-based-active-contour","display_name":"region-based active contour","score":0.6970000267028809},{"id":"https://openalex.org/keywords/mechanical-circulatory-support","display_name":"mechanical circulatory support","score":0.7310000061988831},{"id":"https://openalex.org/keywords/left-ventricular-function","display_name":"left ventricular function","score":0.6430000066757202},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.8080000281333923}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8512164354324341},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7366393208503723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6873499155044556},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5696090459823608},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5675429105758667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5477539300918579},{"id":"https://openalex.org/C2778921608","wikidata":"https://www.wikidata.org/wiki/Q2002035","display_name":"Ventricle","level":2,"score":0.5174072980880737},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4721113443374634},{"id":"https://openalex.org/C99398487","wikidata":"https://www.wikidata.org/wiki/Q257319","display_name":"Cardiac cycle","level":2,"score":0.4448278248310089},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.42589855194091797},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.345096230506897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33428525924682617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23590028285980225},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1226867139339447}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:lup.lub.lu.se:ef27baa5-d1b5-4399-86db-bdceaa9b12bd","doi":null,"is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/4360371","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W48966775","https://openalex.org/W69087157","https://openalex.org/W784960137","https://openalex.org/W1480376833","https://openalex.org/W1500290582","https://openalex.org/W1536189125","https://openalex.org/W1545907120","https://openalex.org/W1599542237","https://openalex.org/W1972519108","https://openalex.org/W1997059543","https://openalex.org/W2000187708","https://openalex.org/W2001029196","https://openalex.org/W2001992087","https://openalex.org/W2015135858","https://openalex.org/W2020697485","https://openalex.org/W2021473924","https://openalex.org/W2021989197","https://openalex.org/W2025564919","https://openalex.org/W2027594868","https://openalex.org/W2032051785","https://openalex.org/W2034074059","https://openalex.org/W2038952578","https://openalex.org/W2044212567","https://openalex.org/W2044719420","https://openalex.org/W2059565257","https://openalex.org/W2074363337","https://openalex.org/W2077443785","https://openalex.org/W2098979973","https://openalex.org/W2099244020","https://openalex.org/W2104095591","https://openalex.org/W2106904753","https://openalex.org/W2107268632","https://openalex.org/W2111250300","https://openalex.org/W2112691218","https://openalex.org/W2113115183","https://openalex.org/W2114487471","https://openalex.org/W2119290538","https://openalex.org/W2120972216","https://openalex.org/W2128409098","https://openalex.org/W2132857889","https://openalex.org/W2141619730","https://openalex.org/W2142532265","https://openalex.org/W2146932984","https://openalex.org/W2148732494","https://openalex.org/W2149525122","https://openalex.org/W2155831290","https://openalex.org/W2156130038","https://openalex.org/W2157380596","https://openalex.org/W2157702164","https://openalex.org/W2159619845","https://openalex.org/W2164391318","https://openalex.org/W2167584786","https://openalex.org/W2167877131","https://openalex.org/W2169528473","https://openalex.org/W2169995029","https://openalex.org/W3145128584"],"related_works":["https://openalex.org/W2578602731","https://openalex.org/W2303634517","https://openalex.org/W7098773751","https://openalex.org/W2479221571","https://openalex.org/W2109894119","https://openalex.org/W1969971691","https://openalex.org/W2586399203","https://openalex.org/W2773760516","https://openalex.org/W6981253369","https://openalex.org/W2078653563"],"abstract_inverted_index":{"Segmentation":[0],"is":[1,66,71,131,142,152,163,215,289,299],"an":[2,97],"important":[3,143],"task":[4],"in":[5,31,76,93,137,206,252,316,333],"all":[6],"kinds":[7],"of":[8,37,42,79,90,104,113,125,133,197,234,237,255,280,286,303,331,336],"image":[9,13,167,172],"analysis.":[10],"In":[11,56,109,225],"medical":[12,339],"analysis":[14],"segmentation":[15,47,86,89,132,141,151,214,285,332],"has":[16],"a":[17,60,110,155,232,258,266,271,301,309,323,334],"great":[18],"clinical":[19],"value":[20],"since":[21],"the":[22,35,57,69,80,94,116,123,134,146,160,171,178,185,198,204,218,226,235,238,240,243,246,278,281,284,287,292,320,329],"aim":[23,70],"could":[24],"be":[25,250,274],"to":[26,33,52,72,208,249,262,268,319],"localize":[27],"organs":[28],"or":[29],"pathologies":[30],"order":[32,207],"raise":[34],"quality":[36],"diagnoses.":[38],"This":[39,140,220],"thesis":[40],"consists":[41],"three":[43,326],"papers":[44],"where":[45,68,159],"different":[46,53],"techniques":[48],"have":[49,84,230],"been":[50],"applied":[51],"imaging":[54],"modalities.":[55],"first":[58,88],"paper":[59,228],"full":[61],"computer":[62],"assisted":[63],"diagnosis":[64],"system":[65],"presented":[67],"find":[73],"abnormal":[74],"lesions":[75,106,126],"scintigraphy":[77],"images":[78,95,254],"kidneys.":[81],"Here":[82,283],"we":[83,188,229],"two":[85,190],"parts;":[87],"each":[91,195],"kidney":[92],"using":[96,107,154,291],"active":[98],"shape":[99,236],"model":[100],"and":[101,182,212,245],"then":[102,300],"localization":[103],"potential":[105],"thresholding.":[108],"test":[111],"group":[112],"56":[114],"patients":[115,256],"segmentations":[117],"work":[118],"very":[119],"well":[120],"just":[121],"like":[122],"classification":[124],"does.":[127],"The":[128,150,296],"second":[129],"application":[130],"left":[135,147,244],"ventricle":[136],"echocardiographic":[138,253],"images.":[139],"when":[144,276],"measuring":[145],"ventricular":[148],"function.":[149],"done":[153,216],"region":[156],"based":[157],"snake":[158],"data":[161],"term":[162],"driven":[164],"by":[165],"virtual":[166],"forces":[168],"derived":[169],"from":[170,308,322],"intensities.":[173],"To":[174],"overcome":[175],"problems":[176],"with":[177,257],"cardiac":[179,186],"valve":[180],"opening":[181],"closing":[183],"during":[184],"cycle,":[187],"annotate":[189],"anchor":[191],"points,":[192],"one":[193],"on":[194],"side":[196],"valve.":[199,219],"We":[200],"track":[201],"these":[202],"through":[203],"cycle":[205],"minimize":[209],"user":[210],"interaction":[211],"no":[213],"over":[217],"method":[221],"shows":[222],"promising":[223],"results.":[224],"third":[227],"developed":[231],"measure":[233,272,298,302,314],"septum,":[239],"wall":[241],"between":[242],"right":[247],"ventricle,":[248],"used":[251],"mechanical":[259],"pump":[260],"attached":[261],"their":[263],"heart":[264],"as":[265],"bridge":[267],"transplantation.":[269],"Such":[270],"can":[273],"useful":[275],"tuning":[277],"speed":[279],"pump.":[282],"septum":[288,297,313],"achieved":[290],"shortest":[293],"path":[294],"algorithm.":[295],"how":[304],"much":[305],"it":[306],"deviates":[307],"straight":[310],"septum.":[311],"Our":[312],"corresponds":[315],"most":[317],"cases":[318],"assessments":[321],"physician.":[324],"These":[325],"applications":[327,337],"show":[328],"usefulness":[330],"variety":[335],"within":[338],"imaging.":[340]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-09-09T07:26:56.047234","created_date":"2016-06-24T00:00:00"}
