{"id":"https://openalex.org/W2726309377","doi":"https://doi.org/10.1145/3093293.3093307","title":"A Template Matching Model for Nuclear Segmentation in Digital Images of H&amp;E Stained Slides","display_name":"A Template Matching Model for Nuclear Segmentation in Digital Images of H&amp;E Stained Slides","publication_year":2017,"publication_date":"2017-05-14","ids":{"openalex":"https://openalex.org/W2726309377","doi":"https://doi.org/10.1145/3093293.3093307","mag":"2726309377"},"language":"en","primary_location":{"id":"doi:10.1145/3093293.3093307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093293.3093307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology","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/A5051468738","display_name":"Mark D. Zarella","orcid":"https://orcid.org/0000-0002-1722-6773"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mark D. Zarella","raw_affiliation_strings":["Department of Pathology &amp; Laboratory Medicine, Drexel University, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology &amp; Laboratory Medicine, Drexel University, Philadelphia, PA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111918288","display_name":"Fernando U. Garcia","orcid":null},"institutions":[{"id":"https://openalex.org/I179638627","display_name":"Cancer Treatment Centers of America","ror":"https://ror.org/045ns1x37","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I179638627"]},{"id":"https://openalex.org/I4210087052","display_name":"Eastern Regional Medical Center","ror":"https://ror.org/0019k3g62","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I179638627","https://openalex.org/I4210087052"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando U. Garcia","raw_affiliation_strings":["Department of Pathology &amp; Laboratory Medicine, Eastern Regional Medical Center, Cancer Treatment Centers of America, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology &amp; Laboratory Medicine, Eastern Regional Medical Center, Cancer Treatment Centers of America, Philadelphia, PA","institution_ids":["https://openalex.org/I4210087052","https://openalex.org/I179638627"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061644705","display_name":"David E. Breen","orcid":"https://orcid.org/0000-0002-1376-5008"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David E. Breen","raw_affiliation_strings":["Department of Computer Science, Drexel University, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Drexel University, Philadelphia, PA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051468738"],"corresponding_institution_ids":["https://openalex.org/I72816309"],"apc_list":null,"apc_paid":null,"fwci":1.1701,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83960483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9860000014305115,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9853000044822693,"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/computer-science","display_name":"Computer science","score":0.7417083978652954},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.6922794580459595},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6695746183395386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6641169190406799},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.644679605960846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6026203036308289},{"id":"https://openalex.org/keywords/magnification","display_name":"Magnification","score":0.5924248099327087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5163499116897583},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.47438791394233704},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.45502808690071106},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44093823432922363},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4372473359107971},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4115835726261139},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37067514657974243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12037515640258789},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11072865128517151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7417083978652954},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.6922794580459595},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6695746183395386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6641169190406799},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.644679605960846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6026203036308289},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.5924248099327087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5163499116897583},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.47438791394233704},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.45502808690071106},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44093823432922363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4372473359107971},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4115835726261139},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37067514657974243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12037515640258789},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11072865128517151},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3093293.3093307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093293.3093307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1532026959","https://openalex.org/W1882651189","https://openalex.org/W1970120446","https://openalex.org/W1972678535","https://openalex.org/W1974624551","https://openalex.org/W1988718974","https://openalex.org/W2018197747","https://openalex.org/W2043034051","https://openalex.org/W2045143812","https://openalex.org/W2052660857","https://openalex.org/W2070336702","https://openalex.org/W2075901734","https://openalex.org/W2085308158","https://openalex.org/W2096331886","https://openalex.org/W2103243046","https://openalex.org/W2133059825","https://openalex.org/W2142332605","https://openalex.org/W2149298154","https://openalex.org/W2431621673","https://openalex.org/W2437581047","https://openalex.org/W2529631604","https://openalex.org/W2568087227"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W4282934193","https://openalex.org/W3023714767","https://openalex.org/W3082372604","https://openalex.org/W3115735825","https://openalex.org/W2803493564","https://openalex.org/W2564959782","https://openalex.org/W1560396071"],"abstract_inverted_index":{"Pathology":[0],"has":[1],"become":[2],"increasingly":[3],"more":[4],"reliant":[5],"on":[6,115],"digital":[7],"imaging":[8],"as":[9,19,55],"a":[10,78,95],"means":[11],"for":[12,24],"viewing,":[13],"sharing,":[14],"and":[15,18,44,49,58,67,91,104,117,124,132,151],"archiving":[16],"slides,":[17],"an":[20,84],"essential":[21],"first":[22],"step":[23],"the":[25,52,62,101],"application":[26],"of":[27,100],"advanced":[28],"image":[29,143],"analysis":[30,153],"to":[31,64,120,125,140],"support":[32],"cancer":[33],"diagnostics.":[34],"In":[35],"H&E":[36],"stained":[37],"tissue,":[38],"cell":[39],"nuclei":[40,69,90,123],"are":[41],"especially":[42,138],"prominent,":[43],"their":[45],"shapes,":[46],"staining":[47],"attributes,":[48],"distributions":[50],"within":[51],"tissue":[53,72],"serve":[54],"important":[56],"diagnostic":[57],"prognostic":[59],"features.":[60],"Therefore,":[61],"ability":[63],"accurately":[65],"identify":[66],"segment":[68],"from":[70],"other":[71],"structures":[73],"is":[74,137],"paramount":[75],"toward":[76],"developing":[77],"reliable":[79],"analytical":[80],"tool.":[81],"We":[82],"developed":[83],"algorithm":[85,108],"that":[86,97],"rapidly":[87],"identifies":[88],"candidate":[89],"segments":[92],"them":[93],"in":[94],"manner":[96],"retains":[98],"much":[99],"shape":[102],"information":[103],"location":[105],"precision.":[106],"The":[107],"uses":[109],"color":[110],"analysis,":[111],"template":[112],"matching":[113],"based":[114],"shape,":[116],"clump":[118],"splitting":[119],"demarcate":[121],"individual":[122],"segregate":[126],"overlapping":[127],"nuclei.":[128],"Given":[129],"its":[130],"speed":[131],"relative":[133],"simplicity,":[134],"this":[135],"method":[136],"amenable":[139],"processing":[141],"large":[142],"regions":[144],"at":[145],"high":[146,149],"magnification,":[147],"making":[148],"throughput":[150],"on-demand":[152],"realizable.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
