{"id":"https://openalex.org/W2247235237","doi":"https://doi.org/10.1109/icdim.2015.7381859","title":"MedLab: Medical laboratory test document analysis using HoG and SVM","display_name":"MedLab: Medical laboratory test document analysis using HoG and SVM","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2247235237","doi":"https://doi.org/10.1109/icdim.2015.7381859","mag":"2247235237"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2015.7381859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2015.7381859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Tenth International Conference on Digital Information Management (ICDIM)","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/A5075968184","display_name":"Ali Samei","orcid":null},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Samei","raw_affiliation_strings":["Department of Computer Science, Shahid Behshti University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shahid Behshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107861140","display_name":"Alireza Tavakoli Targhi","orcid":null},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Tavakoli Targhi","raw_affiliation_strings":["Department of Computer Science, Shahid Behshti University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shahid Behshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065991691","display_name":"Mohammad Mahdi Dehshibi","orcid":"https://orcid.org/0000-0001-8112-5419"},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Mahdi Dehshibi","raw_affiliation_strings":["Department of Computer Science, Shahid Behshti University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shahid Behshti University","institution_ids":["https://openalex.org/I48379061"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48379061"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12563795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9958999752998352,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9958999752998352,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9854000210762024,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9768000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8210603594779968},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7243099808692932},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7125949859619141},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5839416980743408},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5683935880661011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5436384677886963},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.503786027431488},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.4946703612804413},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48652926087379456},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.42001405358314514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3490227460861206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210603594779968},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7243099808692932},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7125949859619141},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5839416980743408},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5683935880661011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5436384677886963},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.503786027431488},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.4946703612804413},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48652926087379456},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.42001405358314514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3490227460861206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2015.7381859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2015.7381859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Tenth International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W166374374","https://openalex.org/W1969054921","https://openalex.org/W1977582982","https://openalex.org/W2047704306","https://openalex.org/W2052496384","https://openalex.org/W2059046378","https://openalex.org/W2060505000","https://openalex.org/W2112692009","https://openalex.org/W2123737232","https://openalex.org/W2135164809","https://openalex.org/W2161969291","https://openalex.org/W6606695233","https://openalex.org/W6678557583"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,42,67],"automatic":[4,38],"document":[5,64,155],"processing":[6],"system":[7],"for":[8,93,128],"the":[9,28,33,48,63,74,78,84,94,97,102,109,129,140],"extraction":[10,105],"of":[11,27,35,47,96,108,143],"data":[12,37,99],"which":[13,139],"are":[14],"illustrated":[15],"in":[16,50,83,101,118,138],"medical":[17,36],"laboratory":[18,110],"results":[19,111],"printed":[20],"on":[21,153],"a":[22,51,54,57,121,135],"paper.":[23],"The":[24,147],"final":[25],"goal":[26],"research":[29],"is":[30,145],"to":[31,40,72,133],"make":[32],"collection":[34],"and":[39,45,106,115,157],"enable":[41],"efficient":[43],"management":[44],"description":[46],"information":[49,127,142],"way":[52],"that":[53],"patient":[55],"or":[56],"senior":[58],"medicine":[59],"student":[60],"can":[61],"understand":[62],"just":[65],"like":[66],"expert":[68],"physician.":[69],"In":[70],"order":[71],"reach":[73],"mentioned":[75],"goals,":[76],"following":[77],"forthcoming":[79],"steps":[80],"was":[81],"necessary":[82],"proposed":[85,148],"method.":[86],"(i)":[87],"Image":[88],"pre-preprocessing,":[89],"(ii)":[90],"layout":[91],"analysis":[92,159],"identification":[95],"tables'":[98],"contained":[100],"document'":[103],"(iii)":[104],"classification":[107],"using":[112],"template":[113],"matching":[114],"HoG":[116],"features":[117],"combination":[119],"with":[120],"Support":[122],"Vector":[123],"Machine":[124],"(SVM).":[125],"Providing":[126],"application":[130],"user":[131],"need":[132],"constructing":[134],"knowledge":[136],"base":[137],"relevant":[141],"Wikipedia":[144],"used.":[146],"approach":[149],"has":[150],"been":[151],"tested":[152],"several":[154],"formats":[156],"performance":[158],"shows":[160],"its":[161],"superiority":[162],"as":[163,165],"well":[164],"simplicity.":[166]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}