{"id":"https://openalex.org/W4292862938","doi":"https://doi.org/10.1109/memea54994.2022.9856515","title":"Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem","display_name":"Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4292862938","doi":"https://doi.org/10.1109/memea54994.2022.9856515"},"language":"en","primary_location":{"id":"doi:10.1109/memea54994.2022.9856515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea54994.2022.9856515","pdf_url":null,"source":{"id":"https://openalex.org/S4363605601","display_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5058395022","display_name":"Camille Raets","orcid":"https://orcid.org/0000-0002-6620-1169"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Camille Raets","raw_affiliation_strings":["Vrije Universiteit Brussel,Research Group Biostatistics and Medical Informatics (BISI),Department of Public Health,Brussels,Belgium","Department of Public Health, Research Group Biostatistics and Medical Informatics (BISI), Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Research Group Biostatistics and Medical Informatics (BISI),Department of Public Health,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Public Health, Research Group Biostatistics and Medical Informatics (BISI), Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013678309","display_name":"Cha\u00efmae El Aisati","orcid":"https://orcid.org/0000-0003-3705-6465"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Chaimae El Aisati","raw_affiliation_strings":["UZ Brussel Vrije Universiteit Brussel,Department of Radiotherapy,Brussels,Belgium","Department of Radiotherapy, UZ Brussel Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"UZ Brussel Vrije Universiteit Brussel,Department of Radiotherapy,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Radiotherapy, UZ Brussel Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040579751","display_name":"Mark De Ridder","orcid":"https://orcid.org/0000-0003-4433-8807"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Mark De Ridder","raw_affiliation_strings":["UZ Brussel Vrije Universiteit Brussel,Department of Radiotherapy,Brussels,Belgium","Department of Radiotherapy, UZ Brussel Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"UZ Brussel Vrije Universiteit Brussel,Department of Radiotherapy,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Radiotherapy, UZ Brussel Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019777536","display_name":"Kurt Barb\u00e9","orcid":"https://orcid.org/0000-0002-7825-9077"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kurt Barbe","raw_affiliation_strings":["Vrije Universiteit Brussel,Research Group Biostatistics and Medical Informatics (BISI),Department of Public Health,Brussels,Belgium","Department of Public Health, Research Group Biostatistics and Medical Informatics (BISI), Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Research Group Biostatistics and Medical Informatics (BISI),Department of Public Health,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Public Health, Research Group Biostatistics and Medical Informatics (BISI), Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058395022"],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":1.1118,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81484794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998999834060669,"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/T10335","display_name":"Colorectal Cancer Surgical Treatments","score":0.9970999956130981,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.8181248903274536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6438540816307068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.598558783531189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5595624446868896},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5438263416290283},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5412265062332153},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5165761709213257},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5112748146057129},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.46135589480400085},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45955100655555725},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.444308340549469},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.43986883759498596},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4230459928512573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39824211597442627},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18102684617042542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.128835529088974}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8181248903274536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6438540816307068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.598558783531189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5595624446868896},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5438263416290283},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5412265062332153},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5165761709213257},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5112748146057129},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.46135589480400085},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45955100655555725},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.444308340549469},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.43986883759498596},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4230459928512573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39824211597442627},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18102684617042542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.128835529088974},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/memea54994.2022.9856515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea54994.2022.9856515","pdf_url":null,"source":{"id":"https://openalex.org/S4363605601","display_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:165651","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/radiomics-for-the-prediction-of-the-regression-grade-of-colorectal-cancer-a-challenging-classification-problem(ac012d03-45ec-418e-8289-dcf8b0b50bb8).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.46000000834465027,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1535736950","https://openalex.org/W1930624869","https://openalex.org/W1967193411","https://openalex.org/W2124695217","https://openalex.org/W2128739912","https://openalex.org/W2137682223","https://openalex.org/W2176616910","https://openalex.org/W2330820318","https://openalex.org/W2333625584","https://openalex.org/W2409649574","https://openalex.org/W2487770199","https://openalex.org/W2524807801","https://openalex.org/W2590248782","https://openalex.org/W2763355946","https://openalex.org/W2767128594","https://openalex.org/W2952088836","https://openalex.org/W2981783341","https://openalex.org/W2995579012","https://openalex.org/W3025181063","https://openalex.org/W4239510810","https://openalex.org/W4292023222"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W1807784185","https://openalex.org/W45170056","https://openalex.org/W3202800081","https://openalex.org/W3149839747","https://openalex.org/W1909207154","https://openalex.org/W3124390867","https://openalex.org/W3101614107","https://openalex.org/W3204228978","https://openalex.org/W1514365828"],"abstract_inverted_index":{"Prediction":[0],"of":[1,4,15,77,84,109,141,160,218,232],"the":[2,13,18,35,75,78,82,106,120,137,142,145,152,173,179,221,230,233],"response":[3,36,83,107,139,174],"a":[5,8,53,91,131,203,212],"cancer":[6,113],"is":[7,163,216],"crucial":[9],"research":[10],"topic":[11],"in":[12,74,104,171],"field":[14],"oncology.":[16],"Over":[17],"years":[19],"many":[20],"different":[21],"prediction":[22,154,205,213],"methods":[23,31,155],"were":[24,32,102],"introduced":[25],"where":[26],"both":[27,63,97,172],"non-ensemble":[28],"and":[29,65,99,224],"ensemble":[30],"proposed":[33],"for":[34,44,61,80,96,157],"prediction.":[37],"These":[38],"(non-)ensemble":[39],"methods,":[40],"although":[41],"functioning":[42],"well":[43,177],"numerous":[45],"problems,":[46],"are":[47,169,185,192],"not":[48,193],"always":[49],"suitable.":[50],"When":[51],"considering":[52],"more":[54],"challenging":[55],"data":[56,223,234],"set,":[57],"they":[58,191],"can":[59],"fail":[60,156],"either":[62],"training":[64,98],"validation":[66,68],"or":[67],"alone.":[69],"Since":[70],"our":[71],"interest":[72],"lies":[73],"use":[76],"model":[79],"predicting":[81,105],"new":[85],"patients,":[86],"we":[87,123,129,168,188],"needed":[88],"to":[89,165,196,199,210,228],"find":[90],"method":[92,214],"that":[93,128,151,190,215],"works":[94],"good":[95],"validation.":[100],"We":[101,135,207],"interested":[103],"grade":[108,140],"patients":[110,143],"with":[111],"colorectal":[112],"by":[114],"examining":[115],"their":[116],"CT":[117],"scans.":[118],"From":[119],"medical":[121],"images,":[122],"extracted":[124],"radiomic":[125],"features":[126,133],"such":[127],"obtained":[130],"quantitative":[132],"design.":[134],"predicted":[136],"Dworak":[138],"using":[144],"radiomics":[146,184,222],"data.":[147,161],"Our":[148],"study":[149],"showed":[150,189],"classical":[153],"this":[158],"type":[159],"This":[162],"due":[164],"various":[166],"problems":[167],"facing":[170],"parameter":[175],"as":[176,178,202],"feature":[180],"matrix.":[181],"Even":[182],"though":[183],"very":[186],"promising,":[187],"yet":[194],"ready":[195],"be":[197],"given":[198],"doctors":[200],"solely":[201],"definitive":[204],"tool.":[206],"will":[208],"need":[209],"construct":[211],"capable":[217],"learning":[219],"from":[220],"adapting":[225],"its":[226],"algorithm":[227],"suit":[229],"characteristics":[231],"better.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}