{"id":"https://openalex.org/W2918431598","doi":"https://doi.org/10.1117/12.2512054","title":"New difference of Gaussian channel-sets for the channelized Hotelling observer?","display_name":"New difference of Gaussian channel-sets for the channelized Hotelling observer?","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2918431598","doi":"https://doi.org/10.1117/12.2512054","mag":"2918431598"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512054","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment","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/A5036955640","display_name":"Christiana Balta","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I4210113394","display_name":"Dutch Expert Centre for Screening","ror":"https://ror.org/02braec51","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210113394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Christiana Balta","raw_affiliation_strings":["LRCB (Netherlands)","Radboud Univ. Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRCB (Netherlands)","institution_ids":["https://openalex.org/I4210113394"]},{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079270012","display_name":"Ioannis Sechopoulos","orcid":"https://orcid.org/0000-0001-9615-8205"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I4210113394","display_name":"Dutch Expert Centre for Screening","ror":"https://ror.org/02braec51","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210113394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ioannis Sechopoulos","raw_affiliation_strings":["LRCB (Netherlands)","Radboud Univ. Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRCB (Netherlands)","institution_ids":["https://openalex.org/I4210113394"]},{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086441594","display_name":"Ramona W. Bouwman","orcid":"https://orcid.org/0000-0002-5778-9546"},"institutions":[{"id":"https://openalex.org/I4210113394","display_name":"Dutch Expert Centre for Screening","ror":"https://ror.org/02braec51","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210113394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ramona W. Bouwman","raw_affiliation_strings":["LRCB (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRCB (Netherlands)","institution_ids":["https://openalex.org/I4210113394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061073014","display_name":"Mireille J. M. Broeders","orcid":"https://orcid.org/0000-0002-8741-8148"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I4210113394","display_name":"Dutch Expert Centre for Screening","ror":"https://ror.org/02braec51","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210113394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mireille J. M. Broeders","raw_affiliation_strings":["LRCB (Netherlands)","Radboud Univ. Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRCB (Netherlands)","institution_ids":["https://openalex.org/I4210113394"]},{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110188388","display_name":"Nico Karssemeijer","orcid":null},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nico Karssemeijer","raw_affiliation_strings":["Radboud Univ. Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073245591","display_name":"Ruben E. van Engen","orcid":"https://orcid.org/0000-0001-7006-1376"},"institutions":[{"id":"https://openalex.org/I4210113394","display_name":"Dutch Expert Centre for Screening","ror":"https://ror.org/02braec51","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210113394"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ruben E. van Engen","raw_affiliation_strings":["LRCB (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRCB (Netherlands)","institution_ids":["https://openalex.org/I4210113394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091069986","display_name":"Wouter J. H. Veldkamp","orcid":"https://orcid.org/0000-0002-6293-8956"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wouter J. H. Veldkamp","raw_affiliation_strings":["Leiden Univ. Medical Ctr. (Netherlands)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1754,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54921289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.9961000084877014,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/channelized","display_name":"Channelized","score":0.8763035535812378},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.701215386390686},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.6934128999710083},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6308834552764893},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5970640182495117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5435126423835754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48692357540130615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47609174251556396},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.47299036383628845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4600972533226013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41532766819000244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3542504608631134},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2755209803581238},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.1449858844280243},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11876776814460754},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08303743600845337}],"concepts":[{"id":"https://openalex.org/C51889082","wikidata":"https://www.wikidata.org/wiki/Q5072521","display_name":"Channelized","level":2,"score":0.8763035535812378},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.701215386390686},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.6934128999710083},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6308834552764893},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5970640182495117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5435126423835754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48692357540130615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47609174251556396},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47299036383628845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4600972533226013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41532766819000244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3542504608631134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2755209803581238},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.1449858844280243},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11876776814460754},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08303743600845337},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2512054","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2010135030","https://openalex.org/W2099631097","https://openalex.org/W2156278566","https://openalex.org/W2523753876","https://openalex.org/W2549860874","https://openalex.org/W2583259987","https://openalex.org/W2770054403","https://openalex.org/W4233974599"],"related_works":["https://openalex.org/W2131470200","https://openalex.org/W2015071354","https://openalex.org/W2047952491","https://openalex.org/W2068668125","https://openalex.org/W2062195871","https://openalex.org/W2073031339","https://openalex.org/W4391915433","https://openalex.org/W2144778520","https://openalex.org/W2061271245","https://openalex.org/W2365285804"],"abstract_inverted_index":{"The":[0,35],"channelized-Hotelling":[1],"observer":[2],"(CHO)":[3],"was":[4,49,61,108,119],"investigated":[5],"on":[6,32],"the":[7,11,33,38,43,47,55,58,104,111,127,131,137,144,152,156,162],"ability":[8],"to":[9,17,53,63,148,151],"predict":[10],"human":[12,134],"detection":[13,138],"performance":[14,60],"in":[15,73,161],"order":[16,52],"assess":[18],"clinical":[19],"image":[20],"quality":[21],"objectively.":[22],"CHO":[23,48,59,112,132],"applied":[24],"three":[25],"user-selectable":[26],"difference":[27],"of":[28,37,46,65,84,130,155],"Gaussian":[29],"(DoG)":[30],"channels":[31],"images.":[34,164],"choice":[36,76],"parameter":[39,124],"values":[40,125],"that":[41,64,121,143],"comprise":[42],"DoG":[44,115,145],"channel-sets":[45,146],"investigated.":[50,140],"In":[51],"select":[54],"optimal":[56],"channels,":[57],"compared":[62],"humans":[66],"who":[67],"scored":[68],"digital":[69],"mammography":[70],"(DM)":[71],"images":[72,83],"2-alternative":[74],"forced":[75],"experiments.":[77],"Square":[78],"regions-of-interest":[79],"(ROI)s":[80],"from":[81],"DM":[82,163],"an":[85],"anthropomorphic":[86],"breast":[87],"phantom":[88],"with":[89,113,133],"and":[90,103,158],"without":[91],"calcification-like":[92],"signals":[93,157],"were":[94,101],"extracted.":[95],"Images":[96],"at":[97],"four":[98],"dose":[99],"levels":[100],"acquired":[102],"resulting":[105],"signal":[106],"detectability":[107],"assessed":[109],"using":[110],"various":[114],"channel":[116],"parameters.":[117],"It":[118,141],"found":[120],"varying":[122],"these":[123],"affects":[126],"correlation":[128],"(r<sup>2</sup>)":[129],"observers":[135],"for":[136],"task":[139],"appears":[142],"need":[147],"be":[149],"adapted":[150],"frequency":[153],"content":[154],"backgrounds":[159],"present":[160]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}