{"id":"https://openalex.org/W3041432328","doi":"https://doi.org/10.1109/memea49120.2020.9137158","title":"On the Detection of Colorectal Polyps with Hierarchical Fine-Tuning","display_name":"On the Detection of Colorectal Polyps with Hierarchical Fine-Tuning","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3041432328","doi":"https://doi.org/10.1109/memea49120.2020.9137158","mag":"3041432328"},"language":"en","primary_location":{"id":"doi:10.1109/memea49120.2020.9137158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5087586305","display_name":"G Pappalardo","orcid":"https://orcid.org/0000-0001-7825-4412"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanna Pappalardo","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087180022","display_name":"Giovanni Maria Farinella","orcid":"https://orcid.org/0000-0002-6034-0432"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Maria Farinella","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087586305"],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":0.0835,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44179427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9984999895095825,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9984999895095825,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9919000267982483,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9901999831199646,"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/colonoscopy","display_name":"Colonoscopy","score":0.7383115887641907},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7295352220535278},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7169938683509827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852375864982605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.567017138004303},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5033757090568542},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.4523800015449524},{"id":"https://openalex.org/keywords/colorectal-polyp","display_name":"Colorectal Polyp","score":0.4516521990299225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43867599964141846},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42101240158081055},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2631422281265259},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1709500551223755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15058019757270813},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09952172636985779}],"concepts":[{"id":"https://openalex.org/C2778435480","wikidata":"https://www.wikidata.org/wiki/Q840387","display_name":"Colonoscopy","level":4,"score":0.7383115887641907},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7295352220535278},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7169938683509827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852375864982605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567017138004303},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5033757090568542},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.4523800015449524},{"id":"https://openalex.org/C2910564736","wikidata":"https://www.wikidata.org/wiki/Q1209892","display_name":"Colorectal Polyp","level":5,"score":0.4516521990299225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43867599964141846},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42101240158081055},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2631422281265259},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1709500551223755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15058019757270813},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09952172636985779},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea49120.2020.9137158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1570309158","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2063979222","https://openalex.org/W2126473083","https://openalex.org/W2502376584","https://openalex.org/W2586952804","https://openalex.org/W2587027188","https://openalex.org/W2593736633","https://openalex.org/W2608819578","https://openalex.org/W2796347433","https://openalex.org/W2806175674","https://openalex.org/W2883707521","https://openalex.org/W2891251505","https://openalex.org/W2946973621","https://openalex.org/W2963037989","https://openalex.org/W4293584584","https://openalex.org/W6750227808","https://openalex.org/W6754820278","https://openalex.org/W6762997329"],"related_works":["https://openalex.org/W2381279477","https://openalex.org/W4390721878","https://openalex.org/W4307526283","https://openalex.org/W3094606858","https://openalex.org/W914189219","https://openalex.org/W2048877046","https://openalex.org/W2754048414","https://openalex.org/W2770065711","https://openalex.org/W2320150036","https://openalex.org/W3112283869"],"abstract_inverted_index":{"Colorectal":[0],"cancer":[1,7],"is":[2,157,172],"the":[3,26,29,32,45,52,56,59,65,74,101,105,126,164,220],"largest":[4],"cause":[5],"of":[6,17,28,34,58,67,77,104,128,160,180,198,243],"deaths":[8],"for":[9,23,132],"both":[10],"men":[11],"and":[12,95,112,170,192,206,236,245],"women,":[13],"hence":[14],"early":[15],"detection":[16,66,80,182],"polyps":[18,181,200,221,228],"plays":[19],"an":[20,78,120,158],"important":[21,47],"role":[22],"survival.":[24],"Despite":[25],"advancement":[27],"state-of-the-art":[30],"in":[31,39,81,109,168,204,224],"context":[33],"objects":[35],"detection,":[36],"methods":[37],"suffer":[38],"recognising":[40],"small":[41,68,102],"polyps,":[42,69],"which":[43,143],"are":[44,51],"most":[46],"to":[48,72,100,123,175],"detect":[49],"since":[50,183],"one":[53],"appearing":[54],"at":[55],"beginning":[57],"lesion":[60],"progression.":[61],"To":[62],"deal":[63],"with":[64,188,201,232],"we":[70,135],"propose":[71],"reorganise":[73],"training":[75],"procedure":[76],"object":[79],"a":[82,129,138,151,195,225],"hierarchical":[83,226],"way":[84],"such":[85],"that":[86,114],"it":[87,171,184],"can":[88,229],"better":[89,173],"consider":[90],"visual":[91],"colonoscopy":[92,148,190],"images":[93],"content":[94],"size":[96,103,222],"polyp":[97,130],"variability.":[98],"Due":[99],"datasets":[106,116,165],"publicly":[107],"available":[108,167],"this":[110,133,211],"context,":[111],"considering":[113,219],"current":[115],"do":[117],"not":[118],"have":[119,136,144],"adequate":[121],"variability":[122,203,223],"properly":[124],"assess":[125],"performances":[127],"detector,":[131],"study":[134],"collected":[137],"new":[139],"large":[140,213],"scale":[141],"dataset":[142,156,214],"been":[145,186],"labelled":[146],"by":[147,218],"experts":[149],"during":[150],"clinical":[152],"trial.":[153],"The":[154],"employed":[155],"order":[159],"magnitude":[161],"larger":[162],"than":[163],"currently":[166],"literature":[169],"suited":[174],"perform":[176],"more":[177],"appropriate":[178],"benchmark":[179],"has":[185],"acquired":[187],"different":[189,199],"devices":[191],"because":[193],"contain":[194],"high":[196,234],"number":[197],"real":[202],"appearance":[205],"size.":[207],"Experimental":[208],"results":[209],"on":[210],"novel":[212],"point":[215],"out":[216],"that,":[217],"fine-tuning,":[227],"be":[230],"detected":[231],"very":[233],"per-frame":[235],"per-polyp":[237],"F":[238],"<inf":[239],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[240],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[241],"score":[242],"78.56%":[244],"95.60%":[246],"respectively.":[247]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
