{"id":"https://openalex.org/W4387907431","doi":"https://doi.org/10.33612/diss.813701379","title":"Machine learning for non-invasive tissue characterization in body imaging","display_name":"Machine learning for non-invasive tissue characterization in body imaging","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4387907431","doi":"https://doi.org/10.33612/diss.813701379"},"language":"en","primary_location":{"id":"doi:10.33612/diss.813701379","doi":"https://doi.org/10.33612/diss.813701379","is_oa":true,"landing_page_url":"http://dx.doi.org/10.33612/diss.813701379","pdf_url":"https://research.rug.nl/files/813701381/Title_and_contents.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"University of Groningen","raw_type":"dissertation"},"volume":null,"type":"dissertation","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://research.rug.nl/files/813701381/Title_and_contents.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090814720","display_name":"Yunchao Yin","orcid":"https://orcid.org/0000-0002-5790-484X","observed_orcids":["https://orcid.org/0000-0002-5790-484X"]},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Yunchao Yin","raw_affiliation_strings":["University of Groningen ]. University of Groningen "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Groningen ]. University of Groningen ","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090814720"],"corresponding_institution_ids":["https://openalex.org/I169381384"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.6621000170707703,"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":0.6621000170707703,"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/T10862","display_name":"AI in cancer detection","score":0.2921999990940094,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.01590000092983246,"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/tissue-characterization","display_name":"tissue characterization","score":0.9470000267028809},{"id":"https://openalex.org/keywords/non-invasive-diagnosis","display_name":"non-invasive diagnosis","score":0.8069999814033508},{"id":"https://openalex.org/keywords/diagnostic-imaging","display_name":"diagnostic imaging","score":0.6449999809265137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.8939999938011169},{"id":"https://openalex.org/keywords/histopathology","display_name":"histopathology","score":0.7720000147819519},{"id":"https://openalex.org/keywords/biopsy-alternative","display_name":"biopsy alternative","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C3020547009","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathological examination","level":2,"score":0.6994130611419678},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.5419650077819824},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5242343544960022},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.5184723734855652},{"id":"https://openalex.org/C3019482985","wikidata":"https://www.wikidata.org/wiki/Q7410159","display_name":"Tissue sample","level":2,"score":0.4963265061378479},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.46520882844924927},{"id":"https://openalex.org/C2983453321","wikidata":"https://www.wikidata.org/wiki/Q40397","display_name":"Biological tissue","level":2,"score":0.43962424993515015},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41924551129341125},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3621523976325989},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.24433359503746033}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.33612/diss.813701379","doi":"https://doi.org/10.33612/diss.813701379","is_oa":true,"landing_page_url":"http://dx.doi.org/10.33612/diss.813701379","pdf_url":"https://research.rug.nl/files/813701381/Title_and_contents.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"University of Groningen","raw_type":"dissertation"},{"id":"pmh:oai:pure.rug.nl:openaire_cris_publications/6a40d486-5634-402d-a448-ac2578a5dfc8","doi":null,"is_oa":true,"landing_page_url":"https://research.rug.nl/files/813701381/Title_and_contents.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yin , Y 2023 , ' Machine learning for non-invasive tissue characterization in body imaging ' , Doctor of Philosophy , University of Groningen , [Groningen] . https://doi.org/10.33612/diss.813701379","raw_type":"book"}],"best_oa_location":{"id":"doi:10.33612/diss.813701379","doi":"https://doi.org/10.33612/diss.813701379","is_oa":true,"landing_page_url":"http://dx.doi.org/10.33612/diss.813701379","pdf_url":"https://research.rug.nl/files/813701381/Title_and_contents.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"University of Groningen","raw_type":"dissertation"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387907431.pdf","grobid_xml":"https://content.openalex.org/works/W4387907431.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7062233741","https://openalex.org/W2093722501","https://openalex.org/W6903893405","https://openalex.org/W44840273","https://openalex.org/W4388410993","https://openalex.org/W2062862759","https://openalex.org/W4382361229","https://openalex.org/W4361275822","https://openalex.org/W2520900743","https://openalex.org/W4408999738"],"abstract_inverted_index":{"Tissue":[0],"characterization":[1,42,93],"plays":[2],"a":[3,49,53,68],"vital":[4],"role":[5,85],"in":[6],"the":[7,15,18,73,84,104,114,120],"diagnosis":[8],"of":[9,17,24,75,78,86,106,116],"various":[10],"diseases,":[11],"as":[12],"it":[13],"involves":[14,47],"analysis":[16,109],"structural,":[19],"biochemical,":[20],"and":[21,71,113],"physiological":[22],"properties":[23],"tissues":[25],"to":[26,58,82,123],"differentiate":[27],"healthy":[28],"tissue":[29,31,41,50,62,92],"from":[30],"with":[32,119,135],"pathological":[33],"abnormalities":[34],"[1].":[35],"The":[36],"current":[37],"gold":[38],"standard":[39],"for":[40,63,91,132],"is":[43,81],"histopathological":[44,64,117,133],"examination,":[45,118],"which":[46],"obtaining":[48,61],"sample":[51],"through":[52],"relatively":[54,125],"invasive":[55,126],"procedure.":[56],"Due":[57],"this":[59,79],"invasiveness,":[60],"examination":[65],"can":[66],"be":[67,101],"painful":[69],"procedure":[70],"carries":[72],"risk":[74],"hemorrhage.The":[76],"aim":[77],"thesis":[80],"determine":[83],"artificial":[87],"intelligence":[88],"(AI)":[89],"techniques":[90,112],"on":[94,140],"medical":[95,107,141],"imaging.":[96,142],"More":[97],"specifically,":[98],"correlation":[99],"will":[100],"made":[102],"between":[103],"results":[105,115],"imaging":[108],"by":[110],"AI":[111],"ultimate":[121],"goal":[122],"substitute":[124],"biopsy":[127],"or":[128],"surgical":[129],"procedures":[130],"needed":[131],"examinations":[134],"non-invasive":[136],"AI-based":[137],"methods":[138],"applied":[139]},"counts_by_year":[],"updated_date":"2026-09-11T09:22:31.653822","created_date":"2023-10-25T00:00:00"}