{"id":"https://openalex.org/W4390489218","doi":"https://doi.org/10.1109/sipaim56729.2023.10373484","title":"Automatic Localization of Pancreatic Tumoral Regions in Whole Sequences of Echoendoscopy Procedures","display_name":"Automatic Localization of Pancreatic Tumoral Regions in Whole Sequences of Echoendoscopy Procedures","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4390489218","doi":"https://doi.org/10.1109/sipaim56729.2023.10373484"},"language":"en","primary_location":{"id":"doi:10.1109/sipaim56729.2023.10373484","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sipaim56729.2023.10373484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)","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/A5049932013","display_name":"Mar\u00eda Jaramillo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mar\u00eda Jaramillo","raw_affiliation_strings":["Computer Imaging and Medical Applications Laboratory (CIM@LAB)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Imaging and Medical Applications Laboratory (CIM@LAB)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084800771","display_name":"Josu\u00e9 Ruano","orcid":"https://orcid.org/0000-0003-4801-8229"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Josu\u00e9 Ruano","raw_affiliation_strings":["Computer Imaging and Medical Applications Laboratory (CIM@LAB)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Imaging and Medical Applications Laboratory (CIM@LAB)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048727603","display_name":"Diego Bravo","orcid":"https://orcid.org/0000-0003-1957-1615"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diego Bravo","raw_affiliation_strings":["Computer Imaging and Medical Applications Laboratory (CIM@LAB)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Imaging and Medical Applications Laboratory (CIM@LAB)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574947","display_name":"Sebastian Medina","orcid":"https://orcid.org/0000-0002-4154-0519"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Medina","raw_affiliation_strings":["Machine Learning, Perception and Discovery Lab (MindLab)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning, Perception and Discovery Lab (MindLab)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041852524","display_name":"Mart\u00edn Alonso G\u00f3mez Zuleta","orcid":"https://orcid.org/0000-0002-2377-6544"},"institutions":[{"id":"https://openalex.org/I4210156478","display_name":"Hospital Universitario Nacional de Colombia","ror":"https://ror.org/0544yj280","country_code":"CO","type":"healthcare","lineage":["https://openalex.org/I4210156478"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Mart\u00edn G\u00f3mez","raw_affiliation_strings":["Gastroenterology unit, Hospital Universitario Nacional,Bogotá,Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gastroenterology unit, Hospital Universitario Nacional,Bogotá,Colombia","institution_ids":["https://openalex.org/I4210156478"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080973347","display_name":"Fabio A. Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-9009-7288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabio A. Gonz\u00e1lez","raw_affiliation_strings":["Machine Learning, Perception and Discovery Lab (MindLab)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning, Perception and Discovery Lab (MindLab)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102790773","display_name":"Eduardo Romero","orcid":"https://orcid.org/0000-0003-2088-2509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eduardo Romero","raw_affiliation_strings":["Computer Imaging and Medical Applications Laboratory (CIM@LAB)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Imaging and Medical Applications Laboratory (CIM@LAB)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/pancreatic-cancer","display_name":"Pancreatic cancer","score":0.660718560218811},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6084102392196655},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.586098849773407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5460382699966431},{"id":"https://openalex.org/keywords/pancreatitis","display_name":"Pancreatitis","score":0.514390766620636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5083608031272888},{"id":"https://openalex.org/keywords/pancreas","display_name":"Pancreas","score":0.4830496907234192},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3955536484718323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38144275546073914},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3320876359939575},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2631338834762573},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.18746629357337952}],"concepts":[{"id":"https://openalex.org/C2780210213","wikidata":"https://www.wikidata.org/wiki/Q212961","display_name":"Pancreatic cancer","level":3,"score":0.660718560218811},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6084102392196655},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.586098849773407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5460382699966431},{"id":"https://openalex.org/C2775967933","wikidata":"https://www.wikidata.org/wiki/Q1527888","display_name":"Pancreatitis","level":2,"score":0.514390766620636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5083608031272888},{"id":"https://openalex.org/C2778764654","wikidata":"https://www.wikidata.org/wiki/Q9618","display_name":"Pancreas","level":2,"score":0.4830496907234192},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3955536484718323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38144275546073914},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3320876359939575},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2631338834762573},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18746629357337952}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sipaim56729.2023.10373484","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sipaim56729.2023.10373484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1991129239","https://openalex.org/W2037042896","https://openalex.org/W2944659700","https://openalex.org/W2945284524","https://openalex.org/W3023640369","https://openalex.org/W3085806799","https://openalex.org/W3094764753","https://openalex.org/W3128646645","https://openalex.org/W3194599467","https://openalex.org/W4210598935","https://openalex.org/W4220860477","https://openalex.org/W4252438102","https://openalex.org/W4281258094"],"related_works":["https://openalex.org/W647023399","https://openalex.org/W832193342","https://openalex.org/W1987850981","https://openalex.org/W2069796876","https://openalex.org/W2140661426","https://openalex.org/W2068118511","https://openalex.org/W3145873378","https://openalex.org/W2552414513","https://openalex.org/W2025542867","https://openalex.org/W78957798"],"abstract_inverted_index":{"Pancreatic":[0,138],"cancer":[1],"is":[2,26,113],"characterized":[3],"by":[4,77],"the":[5,10,19,27,32,45,49,59,79,117,124,183],"low":[6],"survival":[7],"rate":[8],"and":[9,23,43,47,87,144,167,182],"challenges":[11],"associated":[12],"with":[13,137,185],"early":[14],"diagnosis.":[15],"Echoendoscopy":[16,69],"(EUS)":[17],"reports":[18],"highest":[20,172],"diagnostic":[21],"sensitivity,":[22],"EUS-guided":[24],"biopsy":[25],"gold":[28],"standard":[29],"to":[30,115],"stage":[31],"disease.":[33],"An":[34],"automatic":[35],"approximated":[36],"location":[37,61],"of":[38,62,68,120,128,142,189],"pancreatic":[39,63],"tumors":[40,64,93],"may":[41],"support":[42],"characterize":[44],"diagnosis,":[46],"audit":[48],"procedure.":[50],"This":[51],"paper":[52],"presents":[53],"a":[54,97,106,126,150],"method":[55],"for":[56,162,165,169],"automatically":[57],"identifying":[58],"approximate":[60,118],"in":[65],"recorded":[66],"videos":[67],"procedures.":[70],"The":[71,171],"process":[72],"involves":[73],"preprocessing":[74],"video":[75],"frames":[76,91,130],"reorganizing":[78],"radially":[80],"captured":[81],"intensities,":[82],"filtering":[83],"out":[84],"speckle":[85],"noise,":[86],"enhancing":[88],"contrast.":[89],"Subsequently,":[90],"containing":[92],"are":[94],"detected":[95],"using":[96],"dedicated":[98],"classifier,":[99],"such":[100],"as":[101,148],"SVM":[102],"or":[103],"Resnet18.":[104],"Afterwards":[105],"OLO":[107],"(You":[108],"Only":[109],"Look":[110],"Once)":[111],"model":[112],"employed":[114],"predict":[116],"localization":[119],"tumors.":[121],"To":[122],"evaluate":[123],"methodology,":[125],"dataset":[127],"66,249":[129],"was":[131,156,180],"used,":[132],"including":[133],"18":[134,168],"cases":[135,141,146],"diagnosed":[136],"Cancer,":[139],"5":[140],"pancreatitis,":[143],"32":[145],"reported":[147],"having":[149],"healthy":[151],"pancreas.":[152],"A":[153],"cross-validation":[154],"scheme":[155],"applied,":[157],"randomly":[158],"selecting":[159],"33":[160],"patients":[161],"training,":[163],"4":[164],"validation,":[166],"testing.":[170],"achieved":[173],"mean":[174],"Intersection":[175],"over":[176],"Union":[177],"(IoU)":[178],"value":[179],"0.42,":[181],"precision,":[184],"an":[186],"IoU":[187],"threshold":[188],"0.1,":[190],"reached":[191],"85.3%.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}