{"id":"https://openalex.org/W4405601328","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794480","title":"Deep Learning Classification of Microsatellite Status in Colorectal Cancer Whole Slide Images","display_name":"Deep Learning Classification of Microsatellite Status in Colorectal Cancer Whole Slide Images","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405601328","doi":"https://doi.org/10.1109/ivcnz64857.2024.10794480"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz64857.2024.10794480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5112631768","display_name":"Aryan Ahuja","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Anu Ahuja","raw_affiliation_strings":["University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038948324","display_name":"Arthur Morley-Bunker","orcid":"https://orcid.org/0000-0001-7519-8291"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Arthur Morley-Bunker","raw_affiliation_strings":["University of Otago,Department of Pathology and Biomedical Science,Christchurch,New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Otago,Department of Pathology and Biomedical Science,Christchurch,New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010870517","display_name":"Ramakrishnan Mukundan","orcid":"https://orcid.org/0000-0003-4578-1931"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ramakrishnan Mukundan","raw_affiliation_strings":["University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury,Department of Computer Science and Software Engineering,Christchurch,New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112631768"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41209593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9787999987602234,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9787999987602234,"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/T10862","display_name":"AI in cancer detection","score":0.9448000192642212,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9415000081062317,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6478347778320312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.632507860660553},{"id":"https://openalex.org/keywords/microsatellite","display_name":"Microsatellite","score":0.5727131962776184},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.5390642881393433},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5110620260238647},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4179014563560486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32785236835479736},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.29339462518692017},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2507164180278778},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16033995151519775},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1158936619758606},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1041097342967987},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.06783613562583923}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6478347778320312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632507860660553},{"id":"https://openalex.org/C61320498","wikidata":"https://www.wikidata.org/wiki/Q265193","display_name":"Microsatellite","level":4,"score":0.5727131962776184},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.5390642881393433},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5110620260238647},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4179014563560486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32785236835479736},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.29339462518692017},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2507164180278778},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16033995151519775},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1158936619758606},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1041097342967987},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.06783613562583923},{"id":"https://openalex.org/C180754005","wikidata":"https://www.wikidata.org/wiki/Q80726","display_name":"Allele","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz64857.2024.10794480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz64857.2024.10794480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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":20,"referenced_works":["https://openalex.org/W2132162500","https://openalex.org/W2141269240","https://openalex.org/W2512917860","https://openalex.org/W2561864858","https://openalex.org/W2566670730","https://openalex.org/W2588388325","https://openalex.org/W2613680070","https://openalex.org/W2794803511","https://openalex.org/W2901219667","https://openalex.org/W2947825023","https://openalex.org/W3104135675","https://openalex.org/W3129469040","https://openalex.org/W3181276071","https://openalex.org/W4200217763","https://openalex.org/W4226483884","https://openalex.org/W4287093437","https://openalex.org/W4297181163","https://openalex.org/W4312893717","https://openalex.org/W4379880150","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W2029130118","https://openalex.org/W1654308148","https://openalex.org/W2183689409","https://openalex.org/W2372527801","https://openalex.org/W168170953","https://openalex.org/W193165942","https://openalex.org/W2364575316","https://openalex.org/W1540379485","https://openalex.org/W2795259429","https://openalex.org/W2546503577"],"abstract_inverted_index":{"This":[0,158],"paper":[1],"aims":[2],"to":[3,88,113],"analyse":[4],"the":[5,12,64,71,84,135,138,150,163],"effectiveness":[6],"of":[7,14,49,66,131,140,165],"deep":[8,79,141,166],"learning":[9,80,142,167],"models":[10,81,121],"for":[11,59,169,175],"classification":[13,55,171],"microsatellite":[15,92],"instability":[16],"(MSI)":[17],"in":[18,62,68,118,143],"colorectal":[19],"cancer":[20],"(CRC)":[21],"using":[22],"whole":[23],"slide":[24],"images":[25],"(WSIs).":[26],"MSI":[27,67,90,170],"tumours":[28],"have":[29],"complex":[30],"and":[31,43,76,91,110,124,134,155,172],"heterogeneous":[32],"morphological":[33,51],"characteristics,":[34],"such":[35],"as":[36],"Tumor":[37],"Infiltrating":[38],"Lym-phocytes":[39],"(TILs),":[40],"mucinous":[41],"differentiation,":[42],"medullary":[44],"growth":[45],"patterns.":[46],"The":[47,120],"complexity":[48],"these":[50],"characteristics":[52],"makes":[53],"automated":[54],"challenging":[56],"but":[57],"crucial":[58],"aiding":[60],"pathologists":[61],"identifying":[63],"presence":[65],"CRC.":[69],"In":[70],"proposed":[72],"method":[73],"we":[74],"develop":[75],"train":[77],"multiple":[78],"based":[82],"on":[83,126],"various":[85],"ResNet":[86],"architectures,":[87],"classify":[89],"stable":[93],"(MSS)":[94],"cases.":[95],"We":[96],"leverage":[97],"image":[98],"pre-processing":[99],"techniques,":[100],"including":[101],"greyscale":[102],"conversion,":[103],"Contrast":[104],"Limited":[105],"Adaptive":[106],"Histogram":[107],"Equalization":[108],"(CLAHE),":[109],"stain":[111],"normalization,":[112],"enhance":[114],"key":[115],"MSI-related":[116],"features":[117],"WSIs.":[119],"are":[122],"trained":[123],"evaluated":[125],"a":[127],"New":[128],"Zealand":[129],"cohort":[130],"CRC":[132],"cases,":[133],"results":[136],"demonstrate":[137],"potential":[139],"improving":[144],"diagnostic":[145],"accuracy,":[146],"while":[147],"also":[148],"highlighting":[149],"challenges":[151],"posed":[152],"by":[153],"preprocessing":[154],"model":[156],"selection.":[157],"work":[159],"provides":[160],"insights":[161],"into":[162],"optimisation":[164],"approaches":[168],"suggests":[173],"directions":[174],"future":[176],"research.":[177]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
