{"id":"https://openalex.org/W2098440099","doi":"https://doi.org/10.1109/iciap.2003.1234066","title":"Pathological lesion detection in 3D dynamic PET images using asymmetry","display_name":"Pathological lesion detection in 3D dynamic PET images using asymmetry","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2098440099","doi":"https://doi.org/10.1109/iciap.2003.1234066","mag":"2098440099"},"language":"en","primary_location":{"id":"doi:10.1109/iciap.2003.1234066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2003.1234066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100457637","display_name":"Zhe Chen","orcid":"https://orcid.org/0000-0001-5004-8975"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhe Chen","raw_affiliation_strings":["Biomedical & Multimedia Information Technology Group School of Information technologies, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical & Multimedia Information Technology Group School of Information technologies, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["AU","HK"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["Biomedical & Multimedia Information Technology Group School of Information technologies, University of Sydney, Australia","Center for Multimedia Signal Processing Department of Electronic & Information Engineering, Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical & Multimedia Information Technology Group School of Information technologies, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Center for Multimedia Signal Processing Department of Electronic & Information Engineering, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076697411","display_name":"Weidong Cai","orcid":"https://orcid.org/0000-0003-3706-8896"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weidong Cai","raw_affiliation_strings":["Biomedical & Multimedia Information Technology Group School of Information technologies, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical & Multimedia Information Technology Group School of Information technologies, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6967,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68040435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"238","issue":null,"first_page":"295","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","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/T10522","display_name":"Medical Imaging Techniques and Applications","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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9986000061035156,"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/false-positive-paradox","display_name":"False positive paradox","score":0.8703656196594238},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.6797722578048706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6787352561950684},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6708388924598694},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.657019853591919},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6508669853210449},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.6029881834983826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5459692478179932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5457966327667236},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5452672839164734},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4718848466873169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4468105733394623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4293632507324219},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.31848475337028503},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13612228631973267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13135069608688354}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.8703656196594238},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.6797722578048706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6787352561950684},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6708388924598694},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.657019853591919},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6508669853210449},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.6029881834983826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5459692478179932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5457966327667236},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5452672839164734},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4718848466873169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4468105733394623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4293632507324219},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.31848475337028503},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13612228631973267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13135069608688354},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iciap.2003.1234066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2003.1234066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/48999","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/48999","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W66523653","https://openalex.org/W1575057086","https://openalex.org/W1605843559","https://openalex.org/W1884495694","https://openalex.org/W1951442280","https://openalex.org/W1980669346","https://openalex.org/W1998683784","https://openalex.org/W2003260632","https://openalex.org/W2009564280","https://openalex.org/W2053920151","https://openalex.org/W2063685014","https://openalex.org/W2112155856","https://openalex.org/W2171314435","https://openalex.org/W4256068510","https://openalex.org/W6634372891","https://openalex.org/W6640892438"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W1980563100","https://openalex.org/W1644661642","https://openalex.org/W4297670902","https://openalex.org/W2035154026","https://openalex.org/W2065779551","https://openalex.org/W2050217822","https://openalex.org/W3102935140","https://openalex.org/W2001403916","https://openalex.org/W2183246718"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,44],"segment-based":[4],"asymmetry":[5,31,46],"feature":[6,47],"detection":[7,48],"approach":[8,55],"for":[9],"three-dimensional":[10],"positron":[11],"emission":[12],"tomography":[13],"(PET)":[14],"brain":[15],"images":[16],"to":[17,62],"automatically":[18],"extract":[19],"pathological":[20],"lesions.":[21],"The":[22,33],"method":[23,34,59],"consists":[24],"of":[25],"three":[26],"stages:":[27],"preprocessing,":[28],"segmentation,":[29],"and":[30,39,43,56,67],"detection.":[32],"was":[35],"tested":[36],"on":[37],"simulation":[38],"clinical":[40],"data":[41,73],"sets":[42],"per-pixel":[45],"is":[49,60],"experimentally":[50],"compared":[51],"with":[52],"our":[53],"per-segment":[54,58],"the":[57,71],"shown":[61],"produce":[63],"fewer":[64],"false":[65],"positives":[66],"better":[68],"demarcation":[69],"in":[70],"PET":[72],"examples":[74],"presented.":[75]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}