{"id":"https://openalex.org/W3040823453","doi":"https://doi.org/10.1109/memea49120.2020.9137150","title":"Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy","display_name":"Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3040823453","doi":"https://doi.org/10.1109/memea49120.2020.9137150","mag":"3040823453"},"language":"en","primary_location":{"id":"doi:10.1109/memea49120.2020.9137150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137150","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/A5088154061","display_name":"Valentina Giannini","orcid":"https://orcid.org/0000-0001-5052-8231"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]},{"id":"https://openalex.org/I4210151091","display_name":"Candiolo Cancer Institute","ror":"https://ror.org/04wadq306","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210151091","https://openalex.org/I4210153126","https://openalex.org/I4210167100"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Valentina Giannini","raw_affiliation_strings":["Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy","institution_ids":["https://openalex.org/I4210151091","https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014954401","display_name":"Arianna Defeudis","orcid":"https://orcid.org/0000-0002-1745-3044"},"institutions":[{"id":"https://openalex.org/I4210151091","display_name":"Candiolo Cancer Institute","ror":"https://ror.org/04wadq306","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210151091","https://openalex.org/I4210153126","https://openalex.org/I4210167100"]},{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Arianna Defeudis","raw_affiliation_strings":["Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy","institution_ids":["https://openalex.org/I4210151091","https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012791314","display_name":"Samanta Rosati","orcid":"https://orcid.org/0000-0003-0620-594X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Samanta Rosati","raw_affiliation_strings":["Dept. of Electronics and Telecommunications, Polytechnic of Turin, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Telecommunications, Polytechnic of Turin, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106467455","display_name":"Giovanni Cappello","orcid":"https://orcid.org/0000-0002-9342-0762"},"institutions":[{"id":"https://openalex.org/I4210151091","display_name":"Candiolo Cancer Institute","ror":"https://ror.org/04wadq306","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210151091","https://openalex.org/I4210153126","https://openalex.org/I4210167100"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Cappello","raw_affiliation_strings":["Dept. Radiology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. Radiology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy","institution_ids":["https://openalex.org/I4210151091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079592986","display_name":"Lorenzo Vassallo","orcid":"https://orcid.org/0000-0001-9772-1303"},"institutions":[{"id":"https://openalex.org/I4210151091","display_name":"Candiolo Cancer Institute","ror":"https://ror.org/04wadq306","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210151091","https://openalex.org/I4210153126","https://openalex.org/I4210167100"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Vassallo","raw_affiliation_strings":["Dept. Radiology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. Radiology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy","institution_ids":["https://openalex.org/I4210151091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029347383","display_name":"Simone Mazzetti","orcid":"https://orcid.org/0000-0001-6011-4040"},"institutions":[{"id":"https://openalex.org/I4210151091","display_name":"Candiolo Cancer Institute","ror":"https://ror.org/04wadq306","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210151091","https://openalex.org/I4210153126","https://openalex.org/I4210167100"]},{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Mazzetti","raw_affiliation_strings":["Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy","institution_ids":["https://openalex.org/I4210151091","https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002163911","display_name":"Jovana Pani\u0107","orcid":"https://orcid.org/0000-0002-6620-5610"},"institutions":[{"id":"https://openalex.org/I4210151091","display_name":"Candiolo Cancer Institute","ror":"https://ror.org/04wadq306","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210151091","https://openalex.org/I4210153126","https://openalex.org/I4210167100"]},{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jovana Panic","raw_affiliation_strings":["Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy","institution_ids":["https://openalex.org/I4210151091","https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066921477","display_name":"Daniele Regge","orcid":"https://orcid.org/0000-0001-8267-5279"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]},{"id":"https://openalex.org/I4210151091","display_name":"Candiolo Cancer Institute","ror":"https://ror.org/04wadq306","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210151091","https://openalex.org/I4210153126","https://openalex.org/I4210167100"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Regge","raw_affiliation_strings":["Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Surgical Science, University of Turin and Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy","institution_ids":["https://openalex.org/I4210151091","https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011367557","display_name":"Gabriella Balestra","orcid":"https://orcid.org/0000-0003-2717-648X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriella Balestra","raw_affiliation_strings":["Dept. of Electronics and Telecommunications, Polytechnic of Turin, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Telecommunications, Polytechnic of Turin, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5088154061"],"corresponding_institution_ids":["https://openalex.org/I4210151091","https://openalex.org/I55143463"],"apc_list":null,"apc_paid":null,"fwci":0.3304,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62535168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":1.0,"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/T10073","display_name":"Hepatocellular Carcinoma Treatment and Prognosis","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"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":0.9926999807357788,"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/segmentation","display_name":"Segmentation","score":0.7365477085113525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7327578663825989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6059684753417969},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.604658842086792},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5151456594467163},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4663381278514862},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4356600046157837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41879788041114807}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7365477085113525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327578663825989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6059684753417969},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.604658842086792},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5151456594467163},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4663381278514862},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4356600046157837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41879788041114807}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea49120.2020.9137150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea49120.2020.9137150","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":[{"display_name":"Good health and well-being","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2227602841","https://openalex.org/W2323421288","https://openalex.org/W2560375214","https://openalex.org/W2618530766","https://openalex.org/W2792205026","https://openalex.org/W2889646458","https://openalex.org/W2901680650","https://openalex.org/W2964121744","https://openalex.org/W3082510706","https://openalex.org/W6631190155","https://openalex.org/W6782717050"],"related_works":["https://openalex.org/W4389009345","https://openalex.org/W4385633891","https://openalex.org/W3197954266","https://openalex.org/W2036390026","https://openalex.org/W4287691568","https://openalex.org/W3047746737","https://openalex.org/W3021454079","https://openalex.org/W1522196789","https://openalex.org/W4220718606","https://openalex.org/W2085143385"],"abstract_inverted_index":{"Predicting":[0],"response":[1,60,211],"to":[2,16,28,45,58,61,78,117,188,209,212],"neo-adjuvant":[3],"chemotherapy":[4,63],"of":[5,13,23,41,64,93,107,120,126,143,153,181,205],"liver":[6,66,80,109],"metastases":[7],"(mts)":[8],"using":[9,206],"CT":[10],"images":[11],"is":[12,44,230],"key":[14],"importance":[15],"provide":[17],"personalized":[18],"treatments.":[19],"However,":[20],"manual":[21,98,129],"segmentation":[22,52,155,229],"mts":[24,144],"should":[25,185],"be":[26,33,186,236],"avoid":[27],"develop":[29],"methods":[30],"that":[31,177,234],"could":[32],"integrated":[34],"into":[35,214],"the":[36,84,90,103,111,135,151,154,159,165,190,194,203],"clinical":[37,215],"practice.":[38,216],"The":[39],"aim":[40],"this":[42,69],"study":[43],"evaluate":[46],"if":[47],"and":[48,87,99,130,162],"how":[49],"much":[50],"automatic":[51,74,100,112,131,228],"can":[53],"affect":[54],"a":[55,94,123,178,231,239],"radiomics-based":[56,207],"method":[57,77],"predict":[59,210],"neoadjuvant":[62],"individual":[65],"mts.":[67,140],"To":[68],"scope,":[70],"we":[71,88,133,163,175],"developed":[72],"an":[73],"deep":[75],"learning":[76],"segment":[79,221],"mts,":[81,110,121,174],"based":[82],"on":[83,238],"U-net":[85],"architecture,":[86],"compared":[89],"classification":[91,137,160,167],"results":[92,161,201],"classifier":[95],"fed":[96],"with":[97,122,145,168,172],"masks.":[101,170],"In":[102,141],"validation":[104],"set":[105],"composed":[106],"39":[108],"deeplearning":[113],"algorithm":[114],"was":[115],"able":[116],"detect":[118],"82%":[119],"median":[124],"precision":[125,152],"67%.":[127],"Using":[128],"masks,":[132],"obtained":[134,164,187],"same":[136,166,191],"in":[138,202],"19/32":[139],"case":[142],"largest":[146],"diameter":[147],">":[148],"20":[149],"mm,":[150],"does":[156],"not":[157],"impact":[158],"both":[169],"Conversely,":[171],"smaller":[173],"showed":[176],"Dice":[179],"coefficient":[180],"at":[182],"least":[183],"0.5":[184],"extract":[189],"information":[192],"from":[193],"two":[195],"segmentations.":[196],"This":[197],"are":[198],"very":[199],"important":[200],"perspective":[204],"approach":[208],"therapy":[213],"Indeed,":[217],"either":[218],"precisely":[219],"manually":[220],"all":[222],"lesions":[223],"or":[224],"refine":[225],"them":[226],"after":[227],"time-consuming":[232],"task":[233],"cannot":[235],"performed":[237],"daily":[240],"basis.":[241]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
