{"id":"https://openalex.org/W2981131935","doi":"https://doi.org/10.1109/ispa.2019.8868446","title":"Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality","display_name":"Visualization of Fibroid in Laparoscopy Videos using Ultrasound Image Segmentation and Augmented Reality","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2981131935","doi":"https://doi.org/10.1109/ispa.2019.8868446","mag":"2981131935"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2019.8868446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2019.8868446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5018200908","display_name":"D\u00e1vid Kup\u00e1s","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"David Kupas","raw_affiliation_strings":["Faculty of Informatics, University of Debrecen, Debrecen, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622229","display_name":"P\u00e9ter T\u00f6r\u00f6k","orcid":"https://orcid.org/0000-0002-6965-856X"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Peter Torok","raw_affiliation_strings":["Department of Obstetrics and Gynecology, University of Debrecen, Debrecen, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061104387","display_name":"Andr\u00e1s Hajd\u00fa","orcid":"https://orcid.org/0000-0003-1718-9770"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andras Hajdu","raw_affiliation_strings":["Faculty of Informatics, University of Debrecen, Debrecen, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024867067","display_name":"Bal\u00e1zs Harangi","orcid":"https://orcid.org/0000-0003-4405-2040"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Balazs Harangi","raw_affiliation_strings":["Faculty of Informatics, University of Debrecen, Debrecen, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2218,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60212561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10916","display_name":"Surgical Simulation and Training","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9882000088691711,"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"}},{"id":"https://openalex.org/T12053","display_name":"Minimally Invasive Surgical Techniques","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/computer-science","display_name":"Computer science","score":0.6901058554649353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6727721095085144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6658995747566223},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6322655081748962},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5251681208610535},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43669453263282776},{"id":"https://openalex.org/keywords/uterus","display_name":"Uterus","score":0.4253098666667938},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.35997825860977173},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.35316935181617737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901058554649353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6727721095085144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6658995747566223},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6322655081748962},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5251681208610535},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43669453263282776},{"id":"https://openalex.org/C2779066055","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Uterus","level":2,"score":0.4253098666667938},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35997825860977173},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.35316935181617737},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2019.8868446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2019.8868446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W1888665913","https://openalex.org/W1977512233","https://openalex.org/W1978515289","https://openalex.org/W2071471228","https://openalex.org/W2082765213","https://openalex.org/W2097511203","https://openalex.org/W2116040950","https://openalex.org/W2116044718","https://openalex.org/W2133059825","https://openalex.org/W2575405263","https://openalex.org/W3211330693","https://openalex.org/W4255664903","https://openalex.org/W6677322329"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W2416151697","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2086524584","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Though":[0],"they":[1,50,128],"rarely":[2],"become":[3,129],"malignant,":[4],"the":[5,22,29,43,48,56,61,67,92,95,100,108,116,119,122,125,141,161,170,173,179,186,210,215,220],"surgical":[6],"removal":[7],"of":[8,47,94,99,107,118,124,143,172,191,219],"fibroids":[9,109],"(uterine":[10],"myomas)":[11],"is":[12,28,152,167],"commonly":[13],"considered":[14],"to":[15,66,82,160,168,205,233],"prevent":[16],"any":[17],"possible":[18],"future":[19],"risks.":[20],"As":[21,209],"least":[23],"invasive":[24],"intervention,":[25],"endoscopic":[26,62,89,132],"surgery":[27],"most":[30],"popular":[31],"approach":[32,81],"for":[33,145],"this":[34,75,111,146],"aim.":[35],"However,":[36],"since":[37],"these":[38,84],"compact":[39],"tumors":[40,85],"reside":[41],"in":[42,71,74,230],"deep":[44],"(muscle/connective)":[45],"tissues":[46],"uterus,":[49,126],"are":[51],"hardly":[52],"visible":[53,87,130],"using":[54,110,194],"only":[55],"video":[57],"stream":[58],"provided":[59],"by":[60],"camera.":[63],"Thus,":[64],"conform":[65],"current":[68],"general":[69],"trend":[70],"human":[72],"surgery,":[73],"paper":[76],"we":[77,114,213],"propose":[78],"a":[79,195],"multimodal":[80],"make":[83],"more":[86,153],"during":[88,131,178],"interventions,":[90],"namely,":[91],"reconstruction":[93],"whole":[96],"three-dimensional":[97],"model":[98,218],"uterus":[101,207,221],"from":[102,199],"ultrasound":[103,149,175,187],"images":[104,188],"and":[105,157,189,202],"segmentation":[106,120,183],"modality.":[112],"Then,":[113],"map":[115],"result":[117],"on":[121,225],"surface":[123],"hence":[127],"surgery.":[133,181],"Similar":[134],"efforts":[135],"have":[136],"already":[137],"been":[138],"made,":[139],"considering":[140],"usage":[142],"MRI":[144],"purpose,":[147],"but":[148],"image":[150,163,200],"acquisition":[151],"widely":[154],"available,":[155],"faster,":[156],"cheaper":[158],"next":[159],"lower":[162],"quality.":[164],"Our":[165,182],"aim":[166],"use":[169],"output":[171],"3D":[174,217],"imaging":[176],"device":[177],"laparoscopic":[180],"pipeline":[184],"processes":[185],"consists":[190],"Otsu's":[192],"thresholding":[193],"special":[196],"mask":[197],"derived":[198],"averages":[201],"morphological":[203],"snakes":[204],"extract":[206],"boundary.":[208],"final":[211],"step,":[212],"project":[214],"segmented":[216],"with":[222],"its":[223],"lesion":[224],"an":[226,235],"endoscope":[227],"camera":[228],"flow":[229],"real":[231],"time":[232],"provide":[234],"augmented":[236],"reality":[237],"application.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
