{"id":"https://openalex.org/W2005257493","doi":"https://doi.org/10.1109/tmi.2012.2196285","title":"Interactive Lesion Segmentation with Shape Priors From Offline and Online Learning","display_name":"Interactive Lesion Segmentation with Shape Priors From Offline and Online Learning","publication_year":2012,"publication_date":"2012-04-27","ids":{"openalex":"https://openalex.org/W2005257493","doi":"https://doi.org/10.1109/tmi.2012.2196285","mag":"2005257493","pmid":"https://pubmed.ncbi.nlm.nih.gov/22547455"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2012.2196285","doi":"https://doi.org/10.1109/tmi.2012.2196285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2012.2196285","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"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/A5052371928","display_name":"Tony Shepherd","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2801970007","display_name":"Turku University Hospital","ror":"https://ror.org/05dbzj528","country_code":"FI","type":"healthcare","lineage":["https://openalex.org/I2801970007","https://openalex.org/I4210127022"]},{"id":"https://openalex.org/I4210105428","display_name":"Turku PET Centre","ror":"https://ror.org/01761e930","country_code":"FI","type":"facility","lineage":["https://openalex.org/I130217899","https://openalex.org/I155660961","https://openalex.org/I2801970007","https://openalex.org/I4210105428","https://openalex.org/I4210127022"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"T. Shepherd","raw_affiliation_strings":["Turku PET Centre and Department of Oncology and Radiotherapy, Turku University Hospital, Turku, Finland. tony.shepherd@tyks.fi","Dept. of Oncology & Radiotherapy, Turku Univ. Hosp., Turku, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turku PET Centre and Department of Oncology and Radiotherapy, Turku University Hospital, Turku, Finland. tony.shepherd@tyks.fi","institution_ids":["https://openalex.org/I2801970007","https://openalex.org/I4210105428"]},{"raw_affiliation_string":"Dept. of Oncology & Radiotherapy, Turku Univ. Hosp., Turku, Finland","institution_ids":["https://openalex.org/I2801970007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103706809","display_name":"Simon J. D. Prince","orcid":"https://orcid.org/0000-0002-5545-3344","observed_orcids":["https://orcid.org/0000-0002-5545-3344","https://orcid.org/0000-0002-6840-8921"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. J. D. Prince","raw_affiliation_strings":["Department of Computer Science, University College London, London, UK","Dept. of Comput. Sci., Univ. Coll. London, London, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. Coll. London, London, UK#TAB#","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033449704","display_name":"Daniel C. Alexander","orcid":"https://orcid.org/0000-0003-2439-350X","observed_orcids":["https://orcid.org/0000-0003-2439-350X"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"D. C. Alexander","raw_affiliation_strings":["Department of Computer Science, University College London, London, UK","Dept. of Comput. Sci., Univ. Coll. London, London, UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. Coll. London, London, UK#TAB#","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.6256,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.8982031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"31","issue":"9","first_page":"1698","last_page":"1712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":1.0,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lesion-segmentation","display_name":"lesion segmentation","score":0.8569999933242798},{"id":"https://openalex.org/keywords/tumor-segmentation","display_name":"tumor segmentation","score":0.8669999837875366},{"id":"https://openalex.org/keywords/statistical-shape-models","display_name":"statistical shape models","score":0.9779999852180481},{"id":"https://openalex.org/keywords/shape-priors","display_name":"shape priors","score":0.9309999942779541},{"id":"https://openalex.org/keywords/nonlinear-time-series-analysis","display_name":"nonlinear time series analysis","score":0.906000018119812},{"id":"https://openalex.org/keywords/e-learning","display_name":"online learning","score":0.9800000190734863},{"id":"https://openalex.org/keywords/interactive-image-segmentation","display_name":"interactive segmentation","score":0.824999988079071},{"id":"https://openalex.org/keywords/user-interaction","display_name":"user interaction","score":0.4869999885559082}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8106989860534668},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7711971402168274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7200671434402466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905920505523682},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.6705233454704285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4935795068740845},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48664626479148865},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.4607120454311371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44708189368247986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40419137477874756},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.20193523168563843},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008113","descriptor_name":"Liver Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D009103","descriptor_name":"Multiple Sclerosis","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2012.2196285","doi":"https://doi.org/10.1109/tmi.2012.2196285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2012.2196285","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:22547455","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22547455","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":"Journal Article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1349058","doi":null,"is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1349058/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE TRANSACTIONS ON MEDICAL IMAGING , 31 (9) pp. 1698-1712. (2012)","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.504800021648407,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3142271793","display_name":"Direct Measurements of Microstructure from MRI","funder_award_id":"EP/G007748/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W637887103","https://openalex.org/W1488270788","https://openalex.org/W1489284139","https://openalex.org/W1522520384","https://openalex.org/W1566263627","https://openalex.org/W1592221739","https://openalex.org/W1622620102","https://openalex.org/W1654787807","https://openalex.org/W1657620449","https://openalex.org/W1968771450","https://openalex.org/W1973007817","https://openalex.org/W1974334408","https://openalex.org/W1975248527","https://openalex.org/W1987869189","https://openalex.org/W1991738904","https://openalex.org/W1996269383","https://openalex.org/W2012637054","https://openalex.org/W2023548024","https://openalex.org/W2026143203","https://openalex.org/W2045762174","https://openalex.org/W2049994576","https://openalex.org/W2060136512","https://openalex.org/W2069527924","https://openalex.org/W2069664287","https://openalex.org/W2073039128","https://openalex.org/W2098719033","https://openalex.org/W2099530880","https://openalex.org/W2104095591","https://openalex.org/W2104351284","https://openalex.org/W2106160885","https://openalex.org/W2107105977","https://openalex.org/W2112814674","https://openalex.org/W2114849571","https://openalex.org/W2122499640","https://openalex.org/W2131529365","https://openalex.org/W2137047060","https://openalex.org/W2138180828","https://openalex.org/W2159500429","https://openalex.org/W2160754664","https://openalex.org/W2170452183","https://openalex.org/W2230470211","https://openalex.org/W2297331912","https://openalex.org/W2312952586","https://openalex.org/W2519575134","https://openalex.org/W2621365959","https://openalex.org/W3089669417","https://openalex.org/W3140954725","https://openalex.org/W4205399858","https://openalex.org/W4205526302","https://openalex.org/W4205756201","https://openalex.org/W4205762382","https://openalex.org/W4205813004","https://openalex.org/W4206071656","https://openalex.org/W4206077053","https://openalex.org/W4206191482","https://openalex.org/W4206232989","https://openalex.org/W4206240204","https://openalex.org/W4206413783","https://openalex.org/W4206445712","https://openalex.org/W4206453042","https://openalex.org/W4211049957","https://openalex.org/W4256339454","https://openalex.org/W4300613154","https://openalex.org/W6629234519","https://openalex.org/W6675878783","https://openalex.org/W6739182412","https://openalex.org/W6806264067","https://openalex.org/W6806284598","https://openalex.org/W6806544074","https://openalex.org/W6806806457"],"related_works":["https://openalex.org/W7099955320","https://openalex.org/W1522520384","https://openalex.org/W2128246358","https://openalex.org/W2592760341","https://openalex.org/W2091906971","https://openalex.org/W2524594445","https://openalex.org/W2123839774","https://openalex.org/W230392805","https://openalex.org/W2540653922","https://openalex.org/W2068420994"],"abstract_inverted_index":{"In":[0],"medical":[1],"image":[2],"segmentation,":[3],"tumors":[4],"and":[5,93,146,179],"other":[6],"lesions":[7],"demand":[8],"the":[9,18,31,69,85,99,102,120,129,133,149,163,169],"highest":[10,19],"levels":[11,20],"of":[12,21,33,71,107,119,135,148],"accuracy":[13,178],"but":[14],"still":[15],"call":[16],"for":[17,91,132,175],"manual":[22],"delineation.":[23],"One":[24,118],"factor":[25],"holding":[26],"back":[27],"automatic":[28],"segmentation":[29],"is":[30],"exemption":[32],"pathological":[34],"regions":[35],"from":[36,68],"shape":[37,44,56,62,89,105,130,151,170],"modelling":[38],"techniques":[39,67],"that":[40,59,168],"rely":[41],"on":[42,138],"high-level":[43],"information":[45,106],"not":[46],"offered":[47],"by":[48],"lesions.":[49],"This":[50],"paper":[51],"introduces":[52],"two":[53,79],"new":[54,86,121,150,164],"statistical":[55],"models":[57,82],"(SSMs)":[58],"combine":[60],"radial":[61],"parameterization":[63],"with":[64,162],"machine":[65],"learning":[66,126],"field":[70],"nonlinear":[72],"time":[73],"series":[74],"analysis.":[75],"We":[76],"then":[77],"develop":[78],"dynamic":[80],"contour":[81],"(DCMs)":[83],"using":[84],"SSMs":[87,100],"as":[88],"priors":[90,152,171],"tumor":[92],"lesion":[94,134],"segmentation.":[95],"From":[96],"training":[97],"data,":[98],"learn":[101],"lower":[103],"level":[104],"boundary":[108],"fluctuations,":[109],"which":[110],"we":[111],"prove":[112],"to":[113,127,157],"be":[114],"nevertheless":[115],"highly":[116],"discriminant.":[117],"DCMs":[122],"also":[123],"uses":[124],"online":[125],"refine":[128],"prior":[131],"interest":[136],"based":[137],"user":[139,182],"interactions.":[140],"Classification":[141],"experiments":[142],"reveal":[143],"superior":[144],"sensitivity":[145],"specificity":[147],"over":[153],"those":[154],"previously":[155],"used":[156],"constrain":[158],"DCMs.":[159],"User":[160],"trials":[161],"interactive":[165],"algorithms":[166],"show":[167],"are":[172],"directly":[173],"responsible":[174],"improvements":[176],"in":[177,181],"reductions":[180],"demand.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}