{"id":"https://openalex.org/W4205316519","doi":"https://doi.org/10.23919/eusipco54536.2021.9616117","title":"Modified Reinhard Algorithm for Color Normalization of Colorectal Cancer Histopathology Images","display_name":"Modified Reinhard Algorithm for Color Normalization of Colorectal Cancer Histopathology Images","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4205316519","doi":"https://doi.org/10.23919/eusipco54536.2021.9616117"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616117","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616117","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5073586738","display_name":"Santanu Roy","orcid":"https://orcid.org/0000-0001-6963-8019"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Santanu Roy","raw_affiliation_strings":["Department of CSE, Manipal University Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Manipal University Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035531638","display_name":"Shubhajit Panda","orcid":null},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubhajit Panda","raw_affiliation_strings":["Department of CSE, Manipal University Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Manipal University Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005945539","display_name":"Mahesh Jangid","orcid":"https://orcid.org/0000-0001-5697-8786"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahesh Jangid","raw_affiliation_strings":["Department of CSE, Manipal University Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Manipal University Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073586738"],"corresponding_institution_ids":["https://openalex.org/I73779912"],"apc_list":null,"apc_paid":null,"fwci":0.8796,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77865021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1231","last_page":"1235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9990000128746033,"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":0.9990000128746033,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9915000200271606,"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":0.987500011920929,"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/normalization","display_name":"Normalization (sociology)","score":0.7804967164993286},{"id":"https://openalex.org/keywords/histopathology","display_name":"Histopathology","score":0.6425778865814209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110803484916687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5850034356117249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5425016283988953},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5084418654441833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45663172006607056},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.4439963698387146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33449602127075195},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3233087658882141},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.26978546380996704},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.1777191460132599},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12687501311302185},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0907229483127594}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7804967164993286},{"id":"https://openalex.org/C544855455","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathology","level":2,"score":0.6425778865814209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110803484916687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5850034356117249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5425016283988953},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5084418654441833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45663172006607056},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.4439963698387146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33449602127075195},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3233087658882141},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.26978546380996704},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.1777191460132599},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12687501311302185},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0907229483127594},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616117","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616117","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":16,"referenced_works":["https://openalex.org/W1597336200","https://openalex.org/W2057114171","https://openalex.org/W2100471550","https://openalex.org/W2129112648","https://openalex.org/W2154408267","https://openalex.org/W2343160907","https://openalex.org/W2460401654","https://openalex.org/W2521228436","https://openalex.org/W2579322062","https://openalex.org/W2807102196","https://openalex.org/W2886327600","https://openalex.org/W2916471783","https://openalex.org/W2969278648","https://openalex.org/W6635816984","https://openalex.org/W6674968941","https://openalex.org/W6718766914"],"related_works":["https://openalex.org/W2533072256","https://openalex.org/W2113578129","https://openalex.org/W2102340963","https://openalex.org/W1540444031","https://openalex.org/W1480223231","https://openalex.org/W2016839265","https://openalex.org/W2004978530","https://openalex.org/W1602413925","https://openalex.org/W4220912900","https://openalex.org/W1481095170"],"abstract_inverted_index":{"In":[0,116],"recent":[1],"trends,":[2],"Computer":[3],"Assisted":[4],"Diagnosis":[5],"(CAD)":[6],"enables":[7],"the":[8,33,37,47,67,79,82,87,113,146,177,180],"pathologists":[9],"to":[10,26,65,100,155],"diagnose":[11],"cancer":[12,27,91,135],"disease":[13],"from":[14],"histopathology":[15,74,114,136],"images":[16,75],"very":[17],"efficiently.":[18],"Color":[19],"normalization":[20,42,62,127,189],"is":[21,64,96,123,153,183],"a":[22,71,119,150],"pre-processing":[23],"step":[24],"prior":[25],"classification":[28],"task":[29],"which":[30],"can":[31,84],"reduce":[32,66],"computational":[34,54],"complexity":[35],"of":[36,49,58,73,128,140,173,179],"classifier.":[38],"However,":[39],"existing":[40,187],"color":[41,61,68,94,126,174,188],"methods":[43,190],"are":[44,143],"fraught":[45],"with":[46,185],"problems":[48],"data":[50,164],"loss":[51,165],"and":[52,107,130,166,193],"huge":[53],"complexity.":[55],"The":[56,138],"purpose":[57],"employing":[59],"this":[60,117],"method":[63],"variation":[69,95],"among":[70],"set":[72],"so":[76],"that":[77,157],"in":[78],"next":[80],"step,":[81],"classifier":[83],"efficiently":[85],"extract":[86],"prominent":[88],"features":[89],"for":[90,125],"grading.":[92],"This":[93],"generally":[97],"occurred":[98],"due":[99],"using":[101],"different":[102],"scanners,":[103],"stain":[104],"concentration":[105],"variability":[106],"poor":[108],"tissue":[109],"sectioning,":[110],"while":[111],"preparing":[112],"slides.":[115],"paper,":[118],"modified":[120],"Reinhard":[121,141],"algorithm":[122,142,159,182],"proposed":[124,147,158,181],"Hematoxylin":[129],"Eosin":[131],"(H&E)":[132],"stained":[133],"colorectal":[134],"images.":[137],"limitations":[139],"alleviated":[144],"by":[145],"algorithm.":[148],"Moreover,":[149],"statistical":[151],"analysis":[152],"provided":[154],"prove":[156],"does":[160],"not":[161],"cause":[162],"any":[163],"subsequently,":[167],"it":[168],"satisfies":[169],"all":[170],"four":[171],"hypotheses":[172],"normalization.":[175],"Furthermore,":[176],"performance":[178],"compared":[184],"other":[186],"both":[191],"qualitatively":[192],"quantitatively.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}