{"id":"https://openalex.org/W4401797293","doi":"https://doi.org/10.1109/isbi56570.2024.10635155","title":"Multi-Colour Space Channel Selection for Improved Chronic Wound Segmentation","display_name":"Multi-Colour Space Channel Selection for Improved Chronic Wound Segmentation","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401797293","doi":"https://doi.org/10.1109/isbi56570.2024.10635155"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://e-space.mmu.ac.uk/638682/9/ISBI2024_author_version.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111298327","display_name":"Christian McBride","orcid":null},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christian McBride","raw_affiliation_strings":["Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035798765","display_name":"Bill Cassidy","orcid":"https://orcid.org/0000-0003-3741-8120"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bill Cassidy","raw_affiliation_strings":["Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040767315","display_name":"Connah Kendrick","orcid":"https://orcid.org/0000-0002-3623-6598"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Connah Kendrick","raw_affiliation_strings":["Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062012021","display_name":"Neil D. Reeves","orcid":"https://orcid.org/0000-0001-9213-4580"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Neil D. Reeves","raw_affiliation_strings":["Manchester Metropolitan University,Department of Life Sciences,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Life Sciences,Manchester,UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086652497","display_name":"Joseph M Pappachan","orcid":"https://orcid.org/0000-0003-0886-5255"},"institutions":[{"id":"https://openalex.org/I1293129422","display_name":"Lancashire Teaching Hospitals NHS Foundation Trust","ror":"https://ror.org/02j7n9748","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I1293129422"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joseph M. Pappachan","raw_affiliation_strings":["NHS Foundation Trust,Lancashire Teaching Hospitals,Preston,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NHS Foundation Trust,Lancashire Teaching Hospitals,Preston,UK","institution_ids":["https://openalex.org/I1293129422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037771946","display_name":"Moi Hoon Yap","orcid":"https://orcid.org/0000-0001-7681-4287"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Moi Hoon Yap","raw_affiliation_strings":["Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,Department of Computing and Mathematics,Manchester,UK","institution_ids":["https://openalex.org/I11983389"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.9279999732971191,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13647","display_name":"AI and Big Data Applications","score":0.9279999732971191,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10862","display_name":"AI in cancer detection","score":0.9240999817848206,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9189000129699707,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6703575253486633},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5572343468666077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541821300983429},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5393109321594238},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5357104539871216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4454600512981415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3622211217880249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34398749470710754},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3210451602935791},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15115338563919067}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6703575253486633},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5572343468666077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541821300983429},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5393109321594238},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5357104539871216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4454600512981415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3622211217880249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34398749470710754},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3210451602935791},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15115338563919067},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:e-space.mmu.ac.uk:638682","is_oa":true,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/5aeda55b359ed515779e859ad27c13a2.html>","pdf_url":"https://e-space.mmu.ac.uk/638682/9/ISBI2024_author_version.pdf","source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:figshare.com:article/32547198","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Multi-Colour_Space_Channel_Selection_for_Improved_Chronic_Wound_Segmentation/32547198","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:e-space.mmu.ac.uk:638682","is_oa":true,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/5aeda55b359ed515779e859ad27c13a2.html>","pdf_url":"https://e-space.mmu.ac.uk/638682/9/ISBI2024_author_version.pdf","source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401797293.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2512791245","https://openalex.org/W2770095456","https://openalex.org/W2890655382","https://openalex.org/W2898800333","https://openalex.org/W3013371160","https://openalex.org/W3092516652","https://openalex.org/W3111142877","https://openalex.org/W3139916062","https://openalex.org/W3188036383","https://openalex.org/W4206513718","https://openalex.org/W4210336990","https://openalex.org/W4210835131","https://openalex.org/W4224923659","https://openalex.org/W4297411819","https://openalex.org/W4308620628","https://openalex.org/W4311418208","https://openalex.org/W4320040873","https://openalex.org/W4392355680","https://openalex.org/W6810911332"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2501551404","https://openalex.org/W4385583601"],"abstract_inverted_index":{"This":[0],"study":[1],"introduces":[2],"a":[3,10,140,166],"novel":[4],"approach":[5],"to":[6,21],"chronic":[7,135],"wound":[8,15,32,136,159],"segmentation,":[9],"critical":[11],"aspect":[12],"of":[13,46,60,63,116,129],"automated":[14],"monitoring":[16],"that":[17,108],"has":[18],"the":[19,27,39,58,78,97,114,127],"potential":[20],"significantly":[22],"reduce":[23],"clinical":[24],"workload.":[25],"Addressing":[26],"challenges":[28],"posed":[29],"by":[30],"varying":[31],"sizes":[33],"and":[34,53,73,89,118,138],"compositions,":[35],"our":[36,75,153],"experiments":[37],"utilise":[38],"U-Net":[40],"architecture":[41],"with":[42,85,96],"an":[43],"innovative":[44],"integration":[45],"multiple":[47],"colour":[48,64,69,131,162],"spaces":[49],"RGB,":[50],"HSV,":[51],"CIE-LAB,":[52],"YCbCr.":[54],"Our":[55],"method":[56,76],"involves":[57],"merging":[59],"various":[61],"combinations":[62],"channels":[65],"from":[66],"these":[67],"selected":[68],"spaces.":[70],"We":[71],"trained":[72],"evaluated":[74],"on":[77,104],"Diabetic":[79],"Foot":[80,119],"Ulcer":[81,120],"Challenge":[82,122],"2022":[83],"dataset,":[84],"improved":[86],"Intersection-Over-Union":[87],"(+0.0187),":[88],"Dice":[90],"Similarity":[91],"Coefficient":[92],"(+0.0183),":[93],"in":[94,134,146,156],"comparison":[95],"baseline":[98],"model.":[99],"Additionally,":[100],"improvements":[101],"are":[102],"observed":[103],"alternative":[105],"test":[106],"sets":[107],"include;":[109],"Complex":[110],"Wound":[111],"DB,":[112],"Advancing":[113],"Zenith":[115],"Healthcare,":[117],"Segmentation":[121],"datasets.":[123],"These":[124,150],"findings":[125],"highlight":[126],"importance":[128],"strategic":[130],"channel":[132,163],"selection":[133],"analysis,":[137],"offer":[139],"promising":[141],"direction":[142,169],"for":[143,170],"future":[144],"research":[145,168],"medical":[147,171],"image":[148,172],"analysis.":[149,173],"enhancements":[151],"show":[152],"method\u2019s":[154],"effectiveness":[155],"capturing":[157],"complex":[158],"characteristics":[160],"using":[161],"selection,":[164],"contributing":[165],"new":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
