{"id":"https://openalex.org/W4392255270","doi":"https://doi.org/10.1145/3638209.3638230","title":"Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends","display_name":"Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends","publication_year":2023,"publication_date":"2023-11-25","ids":{"openalex":"https://openalex.org/W4392255270","doi":"https://doi.org/10.1145/3638209.3638230"},"language":"en","primary_location":{"id":"doi:10.1145/3638209.3638230","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638209.3638230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems","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/A5114860749","display_name":"Yule Wang","orcid":"https://orcid.org/0009-0005-3792-0024"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yule Wang","raw_affiliation_strings":["Northeastern University, China"],"raw_orcid":"https://orcid.org/0009-0005-3792-0024","affiliations":[{"raw_affiliation_string":"Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076172277","display_name":"Yimin Yin","orcid":"https://orcid.org/0000-0001-9056-4261"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Yin","raw_affiliation_strings":["National University of Defense Technology, China and \rHunan First Normal University, China"],"raw_orcid":"https://orcid.org/0000-0001-9056-4261","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China and \rHunan First Normal University, China","institution_ids":["https://openalex.org/I916048824","https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082858094","display_name":"Renye Zhang","orcid":"https://orcid.org/0000-0001-7627-3361"},"institutions":[{"id":"https://openalex.org/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renye Zhang","raw_affiliation_strings":["Hunan First Normal University, China"],"raw_orcid":"https://orcid.org/0000-0001-7627-3361","affiliations":[{"raw_affiliation_string":"Hunan First Normal University, China","institution_ids":["https://openalex.org/I916048824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064208724","display_name":"Jinghua Zhang","orcid":"https://orcid.org/0000-0003-3303-4752"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghua Zhang","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3303-4752","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114860749"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60742225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9959999918937683,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9941999912261963,"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/colorectal-cancer","display_name":"Colorectal cancer","score":0.7223963737487793},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.675504207611084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.632618248462677},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5693609714508057},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.48460066318511963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4672909379005432},{"id":"https://openalex.org/keywords/histopathological-examination","display_name":"Histopathological examination","score":0.4515114426612854},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4428122639656067},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35716673731803894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26808875799179077},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.26414793729782104},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11163806915283203}],"concepts":[{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.7223963737487793},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.675504207611084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.632618248462677},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5693609714508057},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.48460066318511963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4672909379005432},{"id":"https://openalex.org/C3020547009","wikidata":"https://www.wikidata.org/wiki/Q1070952","display_name":"Histopathological examination","level":2,"score":0.4515114426612854},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4428122639656067},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35716673731803894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26808875799179077},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.26414793729782104},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11163806915283203}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638209.3638230","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638209.3638230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2543222103","display_name":null,"funder_award_id":"Grant 62306323","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W586716844","https://openalex.org/W2282915343","https://openalex.org/W2288892845","https://openalex.org/W2332741427","https://openalex.org/W2735553491","https://openalex.org/W2898496484","https://openalex.org/W2910206206","https://openalex.org/W2975691824","https://openalex.org/W3009780168","https://openalex.org/W3011251910","https://openalex.org/W3024973786","https://openalex.org/W3028272487","https://openalex.org/W3040848982","https://openalex.org/W3047211229","https://openalex.org/W3088047400","https://openalex.org/W3089084610","https://openalex.org/W3109966562","https://openalex.org/W3116030381","https://openalex.org/W3119690984","https://openalex.org/W3128268064","https://openalex.org/W3129750735","https://openalex.org/W3143802587","https://openalex.org/W3186484713","https://openalex.org/W3191219235","https://openalex.org/W3194271609","https://openalex.org/W3200694402","https://openalex.org/W3210360820","https://openalex.org/W4205428558","https://openalex.org/W4220965032","https://openalex.org/W4230613901"],"related_works":["https://openalex.org/W4385350139","https://openalex.org/W4375867731","https://openalex.org/W2374019147","https://openalex.org/W2611989081","https://openalex.org/W2370262613","https://openalex.org/W4362606997","https://openalex.org/W2162169024","https://openalex.org/W4361825250","https://openalex.org/W4380075502","https://openalex.org/W2795259429"],"abstract_inverted_index":{"Early":[0],"diagnosis":[1,19,33],"is":[2,66],"beneficial":[3],"for":[4,86,112],"treating":[5],"Colorectal":[6],"Cancer":[7],"(CRC)":[8],"and":[9,104,108],"can":[10],"improve":[11],"its":[12],"curability.":[13],"The":[14],"traditional":[15,59],"methods":[16],"of":[17,29,76,100],"CRC":[18,30,88],"generally":[20],"rely":[21],"on":[22,84],"pathologists,":[23],"but":[24],"with":[25],"the":[26,98],"increasing":[27],"number":[28],"patients,":[31],"manual":[32],"has":[34,43,51],"many":[35,55],"shortcomings.":[36],"In":[37,63],"recent":[38],"years,":[39],"Deep":[40],"Learning":[41],"(DL)":[42],"attracted":[44],"wide":[45],"attention":[46],"in":[47,54,69],"various":[48],"fields.":[49],"It":[50],"higher":[52],"precision":[53],"complex":[56],"tasks":[57],"than":[58],"machine":[60],"learning":[61],"techniques.":[62],"particular,":[64],"DL":[65,85],"widely":[67],"used":[68],"medical":[70],"image":[71,89,116],"classification,":[72],"including":[73],"histopathological":[74,87,113],"images":[75],"colorectal":[77,114],"cancer.":[78],"This":[79],"review":[80],"summarizes":[81],"multiple":[82],"papers":[83,96],"classification":[90],"from":[91],"2014":[92],"to":[93],"2022.":[94],"These":[95],"discuss":[97],"task":[99],"deep":[101],"neural":[102],"networks":[103],"present":[105],"their":[106],"challenges":[107],"potential":[109],"development":[110],"directions":[111],"cancer":[115],"classification.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}