{"id":"https://openalex.org/W2124014596","doi":"https://doi.org/10.1109/isbi.2002.1029226","title":"A multispectral computer vision system for automatic grading of prostatic neoplasia","display_name":"A multispectral computer vision system for automatic grading of prostatic neoplasia","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2124014596","doi":"https://doi.org/10.1109/isbi.2002.1029226","mag":"2124014596"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2002.1029226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2002.1029226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE International Symposium on Biomedical Imaging","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/A5023020124","display_name":"Mohammed Ali Roula","orcid":"https://orcid.org/0000-0002-6832-9115"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"M. Roula","raw_affiliation_strings":["School of Computer Science, Queen''s University Belfast, Belfast, UK","Sch. of Comput. Sci., Queen's Univ., Belfast, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Queen''s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"Sch. of Comput. Sci., Queen's Univ., Belfast, UK#TAB#","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013878165","display_name":"James J. Diamond","orcid":"https://orcid.org/0000-0002-8832-7918"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J. Diamond","raw_affiliation_strings":["Department of Pathology, Queen''s University Belfast, Belfast, UK","[Department of Pathology, Queen''s University Belfast, Belfast, UK]"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Queen''s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"[Department of Pathology, Queen''s University Belfast, Belfast, UK]","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033623398","display_name":"Ahmed Bouridane","orcid":"https://orcid.org/0000-0002-1474-2772"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Bouridane","raw_affiliation_strings":["School of Computer Science, Queen''s University Belfast, Belfast, UK","School of Computer Science, Queen\u2019s University Belfast, Belfast, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Queen''s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"School of Computer Science, Queen\u2019s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036557557","display_name":"Peter I. Miller","orcid":"https://orcid.org/0000-0002-5292-8789"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"P. Miller","raw_affiliation_strings":["School of Computer Science, Queen''s University Belfast, Belfast, UK","School of Computer Science, Queen\u2019s University Belfast, Belfast, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Queen''s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"School of Computer Science, Queen\u2019s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042805664","display_name":"Abbes Amira","orcid":"https://orcid.org/0000-0003-1652-0492"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Amira","raw_affiliation_strings":["School of Computer Science, Queen''s University Belfast, Belfast, UK","School of Computer Science, Queen\u2019s University Belfast, Belfast, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Queen''s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"School of Computer Science, Queen\u2019s University Belfast, Belfast, UK","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023020124"],"corresponding_institution_ids":["https://openalex.org/I126231945"],"apc_list":null,"apc_paid":null,"fwci":5.1144,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.95877583,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1898","issue":null,"first_page":"193","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/multispectral-image","display_name":"Multispectral image","score":0.908797025680542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302274703979492},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6741032600402832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727452278137207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6505323052406311},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5915324687957764},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.512712836265564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5040916204452515},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.44833946228027344},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43924859166145325}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.908797025680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302274703979492},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6741032600402832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727452278137207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6505323052406311},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5915324687957764},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.512712836265564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5040916204452515},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.44833946228027344},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43924859166145325},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2002.1029226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2002.1029226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE International Symposium on Biomedical Imaging","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/f7bcd219-ff40-4d94-b29a-4445b960a25f","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/f7bcd219-ff40-4d94-b29a-4445b960a25f","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Roula, M A, Diamond, J, Miller, P & Amira, A 2002, 'A Multispectral Computer Vision System for Automatic Grading of Prostatic Neoplasia', Paper presented at Proceedings IEEE International Symposium on Biomedical Imaging, Washington, United States, 01/01/2002 - 01/01/2002 pp. 193-196.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2019364621","https://openalex.org/W2027123781","https://openalex.org/W2059432853","https://openalex.org/W2082044779","https://openalex.org/W2144588963"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W62810557","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W1511643196","https://openalex.org/W2792279927","https://openalex.org/W4385497869","https://openalex.org/W283587633","https://openalex.org/W2018632273"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"the":[3,24,53,65,89,92,115,123,129],"application":[4],"of":[5,26,37,91,117],"multispectral":[6,118],"imaging":[7],"in":[8,52],"quantitative":[9],"pathology.":[10],"The":[11,30],"automated":[12],"system":[13],"aims":[14],"to":[15,59,87,96],"classify":[16],"microscopic":[17],"samples":[18],"taken":[19,136],"by":[20],"needle":[21],"biopsy":[22],"for":[23,77],"purpose":[25],"prostate":[27],"cancer":[28],"diagnosis.":[29],"main":[31],"contribution":[32],"here":[33],"is":[34,134],"that":[35,114],"instead":[36],"analysing":[38],"conventional":[39],"grey":[40],"scale":[41],"or":[42],"RGB":[43],"colour":[44,79],"images,":[45],"sixteen":[46],"spectral":[47],"bands":[48],"have":[49,58,112],"been":[50,85,102],"used":[51,86],"analysis.":[54],"Four":[55],"major":[56],"classes":[57],"be":[60],"discriminated.":[61],"To":[62],"achieve":[63],"that,":[64],"same":[66],"feature":[67,94],"vector,":[68],"based":[69],"on":[70],"texture":[71],"and":[72,111],"structural":[73],"measurements,":[74],"was":[75],"derived":[76],"each":[78],"band.":[80],"Principal":[81],"component":[82],"analysis":[83],"has":[84,101],"reduce":[88],"dimensionality":[90],"combination":[93],"vector":[95],"a":[97],"manageable":[98],"size.":[99],"Tests":[100],"carried":[103],"out":[104],"using":[105],"supervised":[106],"Classical":[107],"Linear":[108],"Discrimination":[109],"method":[110],"shown":[113],"use":[116],"information":[119,133],"can":[120],"significantly":[121],"improve":[122],"classification":[124],"performance":[125],"when":[126],"compared":[127],"with":[128],"case":[130],"where":[131],"this":[132],"not":[135],"into":[137],"consideration.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
