{"id":"https://openalex.org/W1603343626","doi":"https://doi.org/10.1109/isbi.2015.7164040","title":"Predictive sparse morphometric context for classification of histology sections","display_name":"Predictive sparse morphometric context for classification of histology sections","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1603343626","doi":"https://doi.org/10.1109/isbi.2015.7164040","mag":"1603343626"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7164040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7164040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","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/A5047619963","display_name":"Hang Chang","orcid":"https://orcid.org/0000-0002-3773-6818"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]},{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hang Chang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A","Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044658654","display_name":"Paul T. Spellman","orcid":"https://orcid.org/0000-0002-4810-0022"},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul T. Spellman","raw_affiliation_strings":["Center for Spatial Systems Biomedicine Oregon, Health Sciences University, Portland, Oregon, U.S.A"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Systems Biomedicine Oregon, Health Sciences University, Portland, Oregon, U.S.A","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053749724","display_name":"Bahram Parvin","orcid":"https://orcid.org/0000-0002-6433-8006"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]},{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]},{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahram Parvin","raw_affiliation_strings":["Biomedical Engineering Department, University of Nevada, Reno, Nevada, U.S.A","Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A","Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, University of Nevada, Reno, Nevada, U.S.A","institution_ids":["https://openalex.org/I134113660"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Riverside, U.S.A","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, U.S.A","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047619963"],"corresponding_institution_ids":["https://openalex.org/I103635307","https://openalex.org/I148283060"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02341768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1004","last_page":"1007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"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":0.9991999864578247,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.6919872164726257},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6456614136695862},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6368700265884399},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6221134662628174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6205001473426819},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5587062835693359},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4588101804256439},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34100472927093506},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20979472994804382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6919872164726257},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6456614136695862},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6368700265884399},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6221134662628174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6205001473426819},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5587062835693359},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4588101804256439},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34100472927093506},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20979472994804382},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2015.7164040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7164040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W6585196","https://openalex.org/W1903446459","https://openalex.org/W1990904097","https://openalex.org/W2001810343","https://openalex.org/W2029075222","https://openalex.org/W2031867580","https://openalex.org/W2080971197","https://openalex.org/W2097018403","https://openalex.org/W2103243046","https://openalex.org/W2109235804","https://openalex.org/W2109770548","https://openalex.org/W2112447569","https://openalex.org/W2113606819","https://openalex.org/W2114289955","https://openalex.org/W2118585731","https://openalex.org/W2127271355","https://openalex.org/W2131923077","https://openalex.org/W2133605685","https://openalex.org/W2133866056","https://openalex.org/W2143055991","https://openalex.org/W2152315187","https://openalex.org/W2162915993","https://openalex.org/W2171490498","https://openalex.org/W4232730838","https://openalex.org/W4293652559","https://openalex.org/W6674642818","https://openalex.org/W6676243833","https://openalex.org/W6679452834","https://openalex.org/W6685191590"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W2757182831","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W1964749215"],"abstract_inverted_index":{"Classification":[0],"of":[1,9,12,21,27,30,59,86,98,114,130,172],"histology":[2],"sections":[3],"from":[4],"large":[5,46,107],"cohorts,":[6,47],"in":[7,45,63,128,153],"terms":[8],"distinct":[10],"regions":[11],"microanatomy":[13,87],"(e.g.,":[14],"tumor,":[15],"stroma,":[16],"normal),":[17],"enables":[18],"the":[19,25,31,36,60,64,91,96,112,123,131,136,170],"quantification":[20],"tumor":[22],"composition,":[23],"and":[24,39,74,76,88],"construction":[26],"predictive":[28,124],"models":[29],"clinical":[32],"outcome.":[33],"To":[34,110],"tackle":[35],"batch":[37],"effects":[38],"biological":[40],"heterogeneities":[41],"that":[42,145],"are":[43],"persistent":[44],"sparse":[48,92,99,118,125,137],"cellular":[49,68,100,138],"morphometric":[50,69,101,119,126,139],"context":[51,127],"has":[52],"recently":[53],"been":[54],"developed":[55],"for":[56,84,95,106],"invariant":[57],"representation":[58],"underlying":[61],"properties":[62],"data,":[65],"which":[66,134],"summarizes":[67],"features":[70,102],"at":[71],"various":[72],"locations":[73],"scales,":[75],"leads":[77],"to":[78,165],"a":[79,142],"system":[80],"with":[81,149,169],"superior":[82],"performance":[83],"classification":[85],"histopathology.":[89],"However,":[90],"optimization":[93],"protocol":[94],"calculation":[97],"is":[103,146],"not":[104],"scalable":[105],"scale":[108],"classification.":[109],"improve":[111],"scalability":[113],"systems,":[115],"based":[116],"on":[117],"context,":[120],"we":[121],"propose":[122],"place":[129],"original":[132],"implementation,":[133],"approximates":[135],"feature":[140],"through":[141],"non-linear":[143,173],"regressor":[144],"jointly":[147],"learned":[148],"an":[150,154],"over-complete":[151],"dictionary":[152],"unsupervised":[155],"manner.":[156],"Experimental":[157],"results":[158],"indicates":[159],"over":[160],"50":[161],"times":[162],"speedup":[163],"compared":[164],"our":[166],"previous":[167],"implementation":[168],"help":[171],"regressor;":[174],"while":[175],"producing":[176],"competitive":[177],"performance.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
