乐胖代购免代理版

{"id":"https://openalex.org/W3026658123","doi":"https://doi.org/10.1109/isbi45749.2020.9098581","title":"Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images","display_name":"Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3026658123","doi":"https://doi.org/10.1109/isbi45749.2020.9098581","mag":"3026658123"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098581","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2004.11989","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112522628","display_name":"Subhradeep Kayal","orcid":null},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]},{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Subhradeep Kayal","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, Erasmus MC Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, Erasmus MC Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620","https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004336107","display_name":"Florian Dubost","orcid":"https://orcid.org/0000-0002-7035-2680"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]},{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Florian Dubost","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, Erasmus MC Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, Erasmus MC Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686","https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079802068","display_name":"Harm A.W.M. Tiddens","orcid":"https://orcid.org/0000-0001-5628-6667"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]},{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Harm A. W. M. Tiddens","raw_affiliation_strings":["Erasmus MC Rotterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus MC Rotterdam, the Netherlands","institution_ids":["https://openalex.org/I913958620","https://openalex.org/I2801952686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023677285","display_name":"Marleen de Bruijne","orcid":"https://orcid.org/0000-0002-6328-902X"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Marleen de Bruijne","raw_affiliation_strings":["University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":3,"citation_normalized_percentile":{"value":0.761481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":77},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9961,"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":0.9961,"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":0.994,"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":0.9885,"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/replication","display_name":"Replication","score":0.44441432},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.42120814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930039},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6093405},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5891749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58470845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.56052285},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44555968},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.44441432},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44110796},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.42120814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3552437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27838477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17941037},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098581","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.11989","pdf_url":"http://arxiv.org/pdf/2004.11989","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2004.11989","pdf_url":"https://arxiv.org/pdf/2004.11989","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.11989","pdf_url":"http://arxiv.org/pdf/2004.11989","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1489213177","https://openalex.org/W1901129140","https://openalex.org/W2031614119","https://openalex.org/W2136817065","https://openalex.org/W2146502635","https://openalex.org/W2563812708","https://openalex.org/W2755930428","https://openalex.org/W2765407302","https://openalex.org/W2775795276","https://openalex.org/W2785809060","https://openalex.org/W2793444752","https://openalex.org/W2904580809","https://openalex.org/W2963352069","https://openalex.org/W2963399829","https://openalex.org/W3100555247","https://openalex.org/W3104092265","https://openalex.org/W4256555983"],"related_works":["https://openalex.org/W2992856432","https://openalex.org/W2790129917","https://openalex.org/W2212883587","https://openalex.org/W2186390138","https://openalex.org/W2174937762","https://openalex.org/W2100638064","https://openalex.org/W2060035984","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W1916685473"],"abstract_inverted_index":{"Data":[0],"augmentation":[1],"is":[2,26],"of":[3,15,22,54],"paramount":[4],"importance":[5],"in":[6,82,105],"biomedical":[7],"image":[8],"processing":[9],"tasks,":[10],"characterized":[11],"by":[12,121],"inadequate":[13],"amounts":[14],"labelled":[16],"data,":[17],"to":[18,37,43,78,99],"best":[19],"use":[20,53],"all":[21],"the":[23,52,61,91,100,115],"data":[24,41,58],"that":[25,90],"present.":[27],"In-use":[28],"techniques":[29,56],"range":[30],"from":[31],"intensity":[32],"transformations":[33],"and":[34,64],"elastic":[35],"deformations,":[36],"linearly":[38],"combining":[39],"existing":[40,101,108],"points":[42],"make":[44],"new":[45],"ones.":[46],"In":[47],"this":[48],"work,":[49],"we":[50],"propose":[51],"spectral":[55,93],"for":[57],"augmentation,":[59],"using":[60],"discrete":[62],"cosine":[63],"wavelet":[65],"transforms.":[66],"We":[67],"empirically":[68],"evaluate":[69],"our":[70,110],"approaches":[71],"on":[72],"a":[73,124],"CT":[74],"texture":[75],"analysis":[76],"task":[77],"detect":[79],"abnormal":[80],"lung-tissue":[81],"patients":[83],"with":[84,107],"cystic":[85],"fibrosis.":[86],"Empirical":[87],"experiments":[88],"show":[89],"proposed":[92,111],"methods":[94],"perform":[95],"favourably":[96],"as":[97],"compared":[98],"methods.":[102],"When":[103],"used":[104],"combination":[106],"methods,":[109],"approach":[112],"can":[113],"increase":[114],"relative":[116],"minor":[117],"class":[118],"segmentation":[119],"performance":[120],"44.1%":[122],"over":[123],"simple":[125],"replication":[126],"baseline.":[127]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3026658123","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-01-05T13:31:11.766209","created_date":"2020-05-29"}