{"id":"https://openalex.org/W2507947736","doi":null,"title":"Classification in Bone Scintigraphy Images Using Convolutional Neural Networks","display_name":"Classification in Bone Scintigraphy Images Using Convolutional Neural Networks","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2507947736","mag":"2507947736"},"language":"en","primary_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:8881492","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8881492","pdf_url":"http://lup.lub.lu.se/student-papers/record/8881492","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"H2"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://lup.lub.lu.se/student-papers/record/8881492","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072995064","display_name":"Johnny Dang","orcid":"https://orcid.org/0000-0002-1807-3756","observed_orcids":["https://orcid.org/0000-0002-1807-3756"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Johnny Dang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1807-3756","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5072995064"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":15,"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/T10862","display_name":"AI in cancer detection","score":0.49410000443458557,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.49410000443458557,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.2517000138759613,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0706000030040741,"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/bone-scintigraphy","display_name":"bone scintigraphy","score":0.9940000176429749},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7889999747276306},{"id":"https://openalex.org/keywords/cancer-metastases","display_name":"cancer metastases","score":0.628000020980835},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"prostate cancer","score":0.9850000143051147},{"id":"https://openalex.org/keywords/hot-spots","display_name":"hot spots","score":0.5960000157356262},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.8040000200271606},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.746999979019165}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8714116811752319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7742533087730408},{"id":"https://openalex.org/C2776049877","wikidata":"https://www.wikidata.org/wiki/Q1928938","display_name":"Bone scintigraphy","level":2,"score":0.7549934983253479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036717534065247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6132017374038696},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46694767475128174},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4583567678928375},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4548327624797821},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43579012155532837},{"id":"https://openalex.org/C2779902710","wikidata":"https://www.wikidata.org/wiki/Q1130465","display_name":"Scintigraphy","level":2,"score":0.4229975640773773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3290539085865021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32133352756500244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32066237926483154},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.16470792889595032},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14194220304489136}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:lup-student-papers.lub.lu.se:8881492","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8881492","pdf_url":"http://lup.lub.lu.se/student-papers/record/8881492","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"H2"},{"id":"mag:2507947736","doi":null,"is_oa":false,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8881492/file/8881503.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:8881492","doi":null,"is_oa":true,"landing_page_url":"http://lup.lub.lu.se/student-papers/record/8881492","pdf_url":"http://lup.lub.lu.se/student-papers/record/8881492","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"H2"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8048999905586243,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2507947736.pdf","grobid_xml":"https://content.openalex.org/works/W2507947736.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522734439","https://openalex.org/W1533861849","https://openalex.org/W1555148682","https://openalex.org/W1779980472","https://openalex.org/W1995341919","https://openalex.org/W2005687876","https://openalex.org/W2019947514","https://openalex.org/W2040870580","https://openalex.org/W2053662837","https://openalex.org/W2055489437","https://openalex.org/W2058825665","https://openalex.org/W2093910183","https://openalex.org/W2095705004","https://openalex.org/W2097998348","https://openalex.org/W2103314990","https://openalex.org/W2116064496","https://openalex.org/W2116424792","https://openalex.org/W2136922672","https://openalex.org/W2137983211","https://openalex.org/W2147270524","https://openalex.org/W2147477216","https://openalex.org/W2159044597","https://openalex.org/W2159635409","https://openalex.org/W2160319249","https://openalex.org/W2184045248","https://openalex.org/W2328176404","https://openalex.org/W2951559648","https://openalex.org/W3121926921","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W3080336025","https://openalex.org/W3046103539","https://openalex.org/W3112329410","https://openalex.org/W3206107434","https://openalex.org/W3168566179","https://openalex.org/W3196335355","https://openalex.org/W4210910686","https://openalex.org/W3102254678","https://openalex.org/W4200515943","https://openalex.org/W4317672443"],"abstract_inverted_index":{"The":[0,70,96,119,148],"main":[1],"goal":[2],"of":[3,61,98,127,132,139,158],"this":[4],"thesis":[5],"is":[6,56],"to":[7,16,48],"design":[8],"and":[9,46,80,82,115],"implement":[10],"a":[11,51,135],"convolutional":[12],"neural":[13],"network":[14],"(CNN)":[15],"classify":[17,49],"whether":[18,50],"hotspots":[19,128],"in":[20,108],"bone":[21,52],"scintigraphy":[22,53],"images":[23,140],"represent":[24],"cancer":[25],"metastases,":[26],"caused":[27],"by":[28,90],"prostate":[29],"cancer,":[30],"or":[31,65],"some":[32],"other":[33],"physiological":[34],"process.":[35],"A":[36],"side":[37,153],"task":[38,154],"was":[39,44],"included,":[40],"where":[41],"another":[42],"CNN":[43,122,150],"designed":[45],"trained":[47,84,121],"image":[54,55],"acquired":[57],"from":[58,66],"the":[59,62,67,75,99,125,152],"front":[60],"patient":[63],"(anterior)":[64],"back":[68],"(posterior).":[69],"CNNs":[71,100,164],"were":[72,83,101],"implemented":[73],"using":[74,103],"deep":[76],"learning":[77,110],"frameworks":[78],"Deeplearning4J":[79],"Keras,":[81],"on":[85,134],"labelled":[86],"data":[87],"sets":[88],"provided":[89],"Exini":[91],"Diagnostics":[92],"AB,":[93],"Lund,":[94],"Sweden.":[95],"performance":[97],"evaluated":[102],"various":[104],"metrics":[105],"commonly":[106],"used":[107,123,145],"machine":[109],"contexts,":[111],"for":[112,124,146,151,168],"instance":[113],"accuracy":[114,131,157],"Receiver":[116],"Operating":[117],"Characteristics.":[118],"\ufb01nal":[120],"classi\ufb01cation":[126,170],"reached":[129,155],"an":[130,156],"89%":[133],"test":[136],"set":[137],"consisting":[138],"that":[141,163],"had":[142],"not":[143],"been":[144],"training.":[147],"corresponding":[149],"99%.":[159],"These":[160],"results":[161],"indicate":[162],"can":[165],"work":[166],"well":[167],"both":[169],"problems.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-09-16T00:00:00"}