{"id":"https://openalex.org/W2155538787","doi":"https://doi.org/10.1109/icip.2007.4379881","title":"Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach","display_name":"Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2155538787","doi":"https://doi.org/10.1109/icip.2007.4379881","mag":"2155538787"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5066949209","display_name":"Jun Kong","orcid":"https://orcid.org/0000-0001-8757-8339"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Kong","raw_affiliation_strings":["Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070685123","display_name":"Olcay Sertel","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olcay Sertel","raw_affiliation_strings":["Ohio State University, Columbus, OH, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, US","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008628156","display_name":"Hiroyuki Shimada","orcid":"https://orcid.org/0000-0001-5025-7507"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroyuki Shimada","raw_affiliation_strings":["Department of Pathology and Laboratory Medicine, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology and Laboratory Medicine, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103528488","display_name":"Kim L. Boyer","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kim Boyer","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109212347","display_name":"Joel Saltz","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel Saltz","raw_affiliation_strings":["Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077316017","display_name":"Metin N. G\u00fcrcan","orcid":"https://orcid.org/0000-0002-2421-8229"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Metin Gurcan","raw_affiliation_strings":["Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Ohio State Uinversity, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.2909,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9872449,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"V ","last_page":" 525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12226","display_name":"Neuroblastoma Research and Treatments","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T12226","display_name":"Neuroblastoma Research and Treatments","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9592999815940857,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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":0.6934751868247986},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.69157874584198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5894092321395874},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5505434274673462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5502151250839233},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.48480740189552307},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.48117098212242126},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.43749117851257324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3839435279369354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3284381628036499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16762995719909668},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.09795427322387695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934751868247986},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.69157874584198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5894092321395874},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5505434274673462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5502151250839233},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.48480740189552307},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.48117098212242126},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.43749117851257324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3839435279369354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3284381628036499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16762995719909668},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09795427322387695},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4379881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1770825568","https://openalex.org/W2019137723","https://openalex.org/W2069407696","https://openalex.org/W2099845624","https://openalex.org/W2104862701","https://openalex.org/W2131456998","https://openalex.org/W2132048066","https://openalex.org/W2135346934","https://openalex.org/W2147796535","https://openalex.org/W2157201261","https://openalex.org/W2158275940","https://openalex.org/W6679986405","https://openalex.org/W6683627962"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W1957831838","https://openalex.org/W3024801493","https://openalex.org/W2913388591","https://openalex.org/W3007653948","https://openalex.org/W2034616663"],"abstract_inverted_index":{"In":[0],"this":[1,126],"paper,":[2],"the":[3,10,40,45,90,123,132,137],"development":[4],"of":[5,12,14,66,94,125,136],"a":[6,26,31,35,54,60,67,72,117],"computer-aided":[7,133],"system":[8,127],"for":[9,131],"classification":[11],"grade":[13],"neuroblastic":[15,138],"differentiation":[16,139],"is":[17,22,49],"presented.":[18],"This":[19],"automated":[20,101],"process":[21,70,104],"carried":[23],"out":[24],"within":[25],"multi-resolution":[27,97],"framework":[28],"that":[29,64],"follows":[30],"coarse-to-fine":[32],"strategy.":[33],"Additionally,":[34],"novel":[36],"segmentation":[37],"approach":[38],"using":[39,59,76],"Fisher-Rao":[41],"criterion,":[42],"embedded":[43],"in":[44,106,109,140],"generic":[46],"expectation-maximization":[47],"algorithm,":[48],"employed.":[50],"Multiple":[51],"decisions":[52],"from":[53],"classifier":[55,62,78],"group":[56],"are":[57],"aggregated":[58],"two-step":[61],"combiner":[63],"consists":[65],"majority":[68],"voting":[69],"and":[71],"weighted":[73],"sum":[74],"rule":[75],"priori":[77],"accuracies.":[79],"The":[80],"developed":[81,119],"system,":[82],"when":[83,114],"tested":[84],"on":[85,112],"14,616":[86],"image":[87],"tiles,":[88],"had":[89],"best":[91],"overall":[92],"accuracy":[93],"96.89%.":[95],"Furthermore,":[96],"scheme":[98],"combined":[99],"with":[100],"feature":[102],"selection":[103],"resulted":[105],"34%":[107],"savings":[108],"computational":[110],"costs":[111],"average":[113],"compared":[115],"to":[116],"previously":[118],"single-resolution":[120],"system.":[121],"Therefore,":[122],"performance":[124],"shows":[128],"good":[129],"promise":[130],"pathological":[134],"assessment":[135],"clinical":[141],"practice.":[142]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
