{"id":"https://openalex.org/W2111523042","doi":"https://doi.org/10.1109/isbi.2010.5490266","title":"Muscle histology image analysis for sarcopenia: Registration of successive sections with distinct atpase activity","display_name":"Muscle histology image analysis for sarcopenia: Registration of successive sections with distinct atpase activity","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2111523042","doi":"https://doi.org/10.1109/isbi.2010.5490266","mag":"2111523042"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5070685123","display_name":"Olcay Sertel","orcid":null},"institutions":[{"id":"https://openalex.org/I1285764155","display_name":"Merck & Co., Inc., Rahway, NJ, USA (United States)","ror":"https://ror.org/02891sr49","country_code":"US","type":"company","lineage":["https://openalex.org/I1285764155"]},{"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":["Department of Applied Computer Science and Mathematics, Merck & Company, Inc., Rahway, NJ, USA","Department of Electrical and Computer Engineering, Ohio State Uinversity, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Computer Science and Mathematics, Merck & Company, Inc., Rahway, NJ, USA","institution_ids":["https://openalex.org/I1285764155"]},{"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/A5050923318","display_name":"Belma Dogdas","orcid":null},"institutions":[{"id":"https://openalex.org/I1285764155","display_name":"Merck & Co., Inc., Rahway, NJ, USA (United States)","ror":"https://ror.org/02891sr49","country_code":"US","type":"company","lineage":["https://openalex.org/I1285764155"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Belma Dogdas","raw_affiliation_strings":["Department of Applied Computer Science and Mathematics, Merck & Company, Inc., Rahway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Computer Science and Mathematics, Merck & Company, Inc., Rahway, NJ, USA","institution_ids":["https://openalex.org/I1285764155"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111901416","display_name":"Chi Sung Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I1285764155","display_name":"Merck & Co., Inc., Rahway, NJ, USA (United States)","ror":"https://ror.org/02891sr49","country_code":"US","type":"company","lineage":["https://openalex.org/I1285764155"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chi Sung Chiu","raw_affiliation_strings":["Merck & Company, Inc., Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Merck & Company, Inc., Boston, MA, USA","institution_ids":["https://openalex.org/I1285764155"]}]},{"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 N. 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":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3229,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62736283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1423","last_page":"1426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9835000038146973,"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":0.9835000038146973,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9696999788284302,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/initialization","display_name":"Initialization","score":0.8089354038238525},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.7424005270004272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203275918960571},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6051809787750244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.547986626625061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5344070196151733},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4592549204826355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4448294937610626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16390207409858704}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8089354038238525},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.7424005270004272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203275918960571},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6051809787750244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.547986626625061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5344070196151733},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4592549204826355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4448294937610626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16390207409858704},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2010.5490266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1995194432","https://openalex.org/W2000059256","https://openalex.org/W2010579238","https://openalex.org/W2077306965","https://openalex.org/W2102782288","https://openalex.org/W2118104180","https://openalex.org/W2133584444","https://openalex.org/W2140139548","https://openalex.org/W2147555557","https://openalex.org/W2766032112","https://openalex.org/W2799061466","https://openalex.org/W4239875977","https://openalex.org/W4245776690","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2168584693","https://openalex.org/W2519648241","https://openalex.org/W3082975905","https://openalex.org/W2784146774","https://openalex.org/W2004640125","https://openalex.org/W2118640186","https://openalex.org/W2027919853","https://openalex.org/W2171028602","https://openalex.org/W3037197017","https://openalex.org/W3093145556"],"abstract_inverted_index":{"One":[0],"way":[1],"of":[2,71],"evaluating":[3],"muscle":[4,18,28,73,110],"quality":[5],"is":[6,51],"to":[7,36,53,127],"determine":[8],"its":[9],"fiber":[10,19],"type":[11,20],"composition":[12],"in":[13,43],"histological":[14,74],"sections.":[15,75],"A":[16],"complete":[17],"characterization":[21],"system":[22],"requires":[23],"combining":[24],"information":[25],"from":[26],"successive":[27,60,72,101],"histology":[29],"images":[30],"with":[31],"different":[32],"ATPase":[33],"stain.":[34],"Due":[35],"the":[37,55,118,130,139,146,155],"local":[38],"and":[39,116,144],"global":[40,119],"deformations":[41],"introduced":[42],"slide":[44],"preparation":[45],"process,":[46],"a":[47,78,83,87,92,123,150],"precise":[48,135],"non-rigid":[49,69,93,131,147],"registration":[50,70,80],"essential":[52],"construct":[54],"spatial":[56],"correspondences":[57,106,137],"between":[58,107,159],"these":[59,160],"images.":[61],"This":[62],"study":[63],"proposes":[64],"an":[65],"approach":[66],"for":[67],"automated":[68],"We":[76],"propose":[77],"feature-based":[79],"that":[81,153],"uses":[82],"two":[84],"stage":[85,132],"approach:":[86],"rigid":[88,96,120],"initialization":[89,97],"followed":[90],"by":[91,104],"refinement.":[94],"The":[95],"step":[98],"globally":[99],"aligns":[100],"tissue":[102],"slides":[103],"finding":[105],"individually":[108],"segmented":[109],"fibers":[111],"using":[112,122,138,149],"Fourier":[113],"shape":[114],"descriptors":[115],"computing":[117],"transformation":[121,152],"voting":[124],"scheme":[125],"tolerant":[126],"mismatches.":[128],"In":[129],"we":[133],"establish":[134],"point":[136],"normalized":[140],"cross":[141],"correlation":[142],"metric":[143],"compute":[145],"distortion":[148],"polynomial":[151],"minimizes":[154],"mean":[156],"square":[157],"distance":[158],"control":[161],"points.":[162]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}