{"id":"https://openalex.org/W2101053699","doi":"https://doi.org/10.1109/cvprw.2008.4563020","title":"Stratified regularity measures with Jensen-Shannon divergence","display_name":"Stratified regularity measures with Jensen-Shannon divergence","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2101053699","doi":"https://doi.org/10.1109/cvprw.2008.4563020","mag":"2101053699"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5022893665","display_name":"Kazunori Okada","orcid":"https://orcid.org/0000-0002-4060-2829"},"institutions":[{"id":"https://openalex.org/I71838634","display_name":"San Francisco State University","ror":"https://ror.org/05ykr0121","country_code":"US","type":"education","lineage":["https://openalex.org/I71838634"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kazunori Okada","raw_affiliation_strings":["San Francisco State University, San Francisco, CA, USA","\u2020San Francisco State University, San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"San Francisco State University, San Francisco, CA, USA","institution_ids":["https://openalex.org/I71838634"]},{"raw_affiliation_string":"\u2020San Francisco State University, San Francisco, CA","institution_ids":["https://openalex.org/I71838634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088127724","display_name":"Senthil Periaswamy","orcid":"https://orcid.org/0000-0001-5064-6174"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Senthil Periaswamy","raw_affiliation_strings":["Siemens Medical Solutions, Inc., Malvern, PA, USA","[Siemens Medical Solutions, Malvern, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Siemens Medical Solutions, Inc., Malvern, PA, USA","institution_ids":[]},{"raw_affiliation_string":"[Siemens Medical Solutions, Malvern, PA, USA]","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051393532","display_name":"Jinbo Bi","orcid":"https://orcid.org/0000-0001-6996-4092"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jinbo Bi","raw_affiliation_strings":["Siemens Medical Solutions, Inc., Malvern, PA, USA","[Siemens Medical Solutions, Malvern, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Siemens Medical Solutions, Inc., Malvern, PA, USA","institution_ids":[]},{"raw_affiliation_string":"[Siemens Medical Solutions, Malvern, PA, USA]","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022893665"],"corresponding_institution_ids":["https://openalex.org/I71838634"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11588112,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9879999756813049,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9879999756813049,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9682999849319458,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9643999934196472,"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/entropy","display_name":"Entropy (arrow of time)","score":0.6490715742111206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5884857177734375},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.533321738243103},{"id":"https://openalex.org/keywords/stratification","display_name":"Stratification (seeds)","score":0.514886736869812},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4921990931034088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4919869601726532},{"id":"https://openalex.org/keywords/shannons-source-coding-theorem","display_name":"Shannon's source coding theorem","score":0.46100446581840515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45146703720092773},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4491385221481323},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4457837641239166},{"id":"https://openalex.org/keywords/almost-everywhere","display_name":"Almost everywhere","score":0.43740078806877136},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.42961585521698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3656829595565796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3344402015209198},{"id":"https://openalex.org/keywords/binary-entropy-function","display_name":"Binary entropy function","score":0.3294661045074463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2929781973361969},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.23235642910003662},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22506016492843628},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.20988279581069946},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19224002957344055}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6490715742111206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5884857177734375},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.533321738243103},{"id":"https://openalex.org/C192943249","wikidata":"https://www.wikidata.org/wiki/Q1893382","display_name":"Stratification (seeds)","level":5,"score":0.514886736869812},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4921990931034088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4919869601726532},{"id":"https://openalex.org/C177409962","wikidata":"https://www.wikidata.org/wiki/Q2411312","display_name":"Shannon's source coding theorem","level":5,"score":0.46100446581840515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45146703720092773},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4491385221481323},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4457837641239166},{"id":"https://openalex.org/C27142425","wikidata":"https://www.wikidata.org/wiki/Q1139334","display_name":"Almost everywhere","level":2,"score":0.43740078806877136},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.42961585521698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3656829595565796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3344402015209198},{"id":"https://openalex.org/C44415725","wikidata":"https://www.wikidata.org/wiki/Q4913893","display_name":"Binary entropy function","level":3,"score":0.3294661045074463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2929781973361969},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.23235642910003662},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22506016492843628},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.20988279581069946},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19224002957344055},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C3527866","wikidata":"https://www.wikidata.org/wiki/Q162267","display_name":"Dormancy","level":3,"score":0.0},{"id":"https://openalex.org/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C49775889","wikidata":"https://www.wikidata.org/wiki/Q6795896","display_name":"Maximum entropy thermodynamics","level":4,"score":0.0},{"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/C88548481","wikidata":"https://www.wikidata.org/wiki/Q2397491","display_name":"Seed dormancy","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2008.4563020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.2722","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/WorkShops/data/papers/071.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1492949916","https://openalex.org/W1514018317","https://openalex.org/W1521461170","https://openalex.org/W1699734612","https://openalex.org/W1874027545","https://openalex.org/W1988032341","https://openalex.org/W1995875735","https://openalex.org/W2032558547","https://openalex.org/W2039400714","https://openalex.org/W2048393947","https://openalex.org/W2057175746","https://openalex.org/W2099930795","https://openalex.org/W2108384452","https://openalex.org/W2111209861","https://openalex.org/W2115305588","https://openalex.org/W2123761600","https://openalex.org/W2126174118","https://openalex.org/W2128388041","https://openalex.org/W2132001627","https://openalex.org/W2146950091","https://openalex.org/W2149521538","https://openalex.org/W2151035455","https://openalex.org/W2153509747","https://openalex.org/W2155513250","https://openalex.org/W2159866604","https://openalex.org/W2167115108","https://openalex.org/W2167776024","https://openalex.org/W4205666164","https://openalex.org/W6629412168","https://openalex.org/W6631281345","https://openalex.org/W6678334417","https://openalex.org/W6679102414","https://openalex.org/W6683024101"],"related_works":["https://openalex.org/W1985432150","https://openalex.org/W1545685255","https://openalex.org/W2090917860","https://openalex.org/W3033899355","https://openalex.org/W2014190749","https://openalex.org/W1581042959","https://openalex.org/W2356622040","https://openalex.org/W3132869233","https://openalex.org/W2012846611","https://openalex.org/W2101053699"],"abstract_inverted_index":{"This":[0,60,75],"paper":[1],"proposes":[2],"a":[3,7,16,28,44,47,66,80,86,122],"stratified":[4,35],"regularity":[5,14,41],"measure:":[6],"novel":[8,81],"entropic":[9],"measure":[10,76,94],"to":[11,26,62,97,108],"describe":[12,98],"data":[13,19],"as":[15,46,65,79],"function":[17,48],"of":[18,30,49,145],"domain":[20],"stratification.":[21],"Jensen-Shannon":[22],"divergence":[23],"is":[24,77,95],"used":[25],"compute":[27],"set-similarity":[29],"intensity":[31,105],"distributions":[32],"derived":[33,40],"from":[34],"data.":[36],"We":[37],"prove":[38],"that":[39],"measures":[42],"form":[43],"continuum":[45],"the":[50,57],"stratification\u2019s":[51],"granularity":[52],"and":[53,104],"also":[54],"upper-bounded":[55],"by":[56],"Shannon":[58,68],"entropy.":[59],"enables":[61],"interpret":[63],"it":[64],"generalized":[67],"entropy":[69],"with":[70,136],"an":[71,143],"intuitive":[72],"spatial":[73],"parameterization.":[74],"applied":[78],"feature":[82],"extraction":[83],"method":[84],"for":[85],"real-world":[87],"medical":[88],"image":[89],"analysis":[90],"problem.":[91,153],"The":[92],"proposed":[93],"employed":[96],"ground-glass":[99],"lung":[100,114],"nodules":[101],"whose":[102],"shape":[103],"distribution":[106],"tend":[107],"be":[109],"more":[110],"irregular":[111],"than":[112],"typical":[113],"nodules.":[115],"Derived":[116],"descriptors":[117],"are":[118],"then":[119],"incorporated":[120],"into":[121],"machine":[123],"learning-based":[124],"computer-aided":[125],"detection":[126],"system.":[127],"Our":[128],"ROC":[129],"experiment":[130],"resulted":[131],"in":[132],"83%":[133],"success":[134],"rate":[135],"5":[137],"false":[138],"positives":[139],"per":[140],"patient,":[141],"demonstrating":[142],"advantage":[144],"our":[146],"approach":[147],"toward":[148],"solving":[149],"this":[150],"clinically":[151],"significant":[152]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
