{"id":"https://openalex.org/W4406328904","doi":"https://doi.org/10.1145/3706890.3707015","title":"Exploration and research on deep learning-based traditional Chinese medicine treatment for intestinal cancer","display_name":"Exploration and research on deep learning-based traditional Chinese medicine treatment for intestinal cancer","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328904","doi":"https://doi.org/10.1145/3706890.3707015"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3707015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3707015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":null,"display_name":"Qi Hao","orcid":"https://orcid.org/0009-0007-9710-973X"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210101984","display_name":"Longhua Hospital Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/016yezh07","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210101984"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Hao","raw_affiliation_strings":["Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-9710-973X","affiliations":[{"raw_affiliation_string":"Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210101984","https://openalex.org/I4210098460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098832945","display_name":"Yangxian Xu","orcid":"https://orcid.org/0000-0001-8738-3291"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210101984","display_name":"Longhua Hospital Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/016yezh07","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210101984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangxian Xu","raw_affiliation_strings":["Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8738-3291","affiliations":[{"raw_affiliation_string":"Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China","institution_ids":["https://openalex.org/I4210101984","https://openalex.org/I4210098460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210098460","https://openalex.org/I4210101984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46783109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"731","last_page":"734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.3352000117301941,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.3352000117301941,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T13444","display_name":"Medical Research and Treatments","score":0.1509999930858612,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.02879999950528145,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5572832822799683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.51943039894104},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5137025117874146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5064271688461304},{"id":"https://openalex.org/keywords/traditional-chinese-medicine","display_name":"Traditional Chinese medicine","score":0.45751115679740906},{"id":"https://openalex.org/keywords/alternative-medicine","display_name":"Alternative medicine","score":0.3743550181388855},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3270872235298157},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.32052382826805115},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14346754550933838},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09919777512550354}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5572832822799683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.51943039894104},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5137025117874146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5064271688461304},{"id":"https://openalex.org/C188947578","wikidata":"https://www.wikidata.org/wiki/Q200253","display_name":"Traditional Chinese medicine","level":3,"score":0.45751115679740906},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.3743550181388855},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3270872235298157},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32052382826805115},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14346754550933838},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09919777512550354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3707015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3707015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4394619528","https://openalex.org/W4394845443","https://openalex.org/W6862632248"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2392684411","https://openalex.org/W2397639394","https://openalex.org/W4323904150","https://openalex.org/W2368337640","https://openalex.org/W2370858806","https://openalex.org/W2372843101","https://openalex.org/W2381806105","https://openalex.org/W2471297334"],"abstract_inverted_index":{"Traditional":[0],"imaging":[1,39,146,162,175,203],"methods":[2,37,71],"have":[3,198],"limited":[4,218],"significance":[5],"in":[6,65,77,98,101,145,216],"the":[7,24,33,48,79,96,99,141,167,171,229,238],"early":[8],"diagnosis,":[9],"prognosis":[10],"judgement":[11],"and":[12,30,47,52,87,91,105,156,179,209,231,240],"prediction":[13],"of":[14,17,27,35,38,50,118,173],"radiotherapy":[15],"effect":[16],"colorectal":[18,57,195],"cancer.":[19],"In":[20],"recent":[21],"years,":[22],"with":[23,160],"continuous":[25,233],"development":[26],"image":[28,89],"processing":[29],"computer":[31],"technology,":[32],"application":[34],"analytical":[36],"histology":[40,147,176,204],"for":[41,56,114,182],"accurate":[42,51],"preoperative":[43],"assessment,":[44],"efficacy":[45],"prediction,":[46],"formulation":[49],"individualized":[53],"treatment":[54],"plans":[55],"cancer":[58,196],"patients":[59],"is":[60,110,132],"a":[61,102,111,115,121,127,217,243],"new":[62],"research":[63],"hotspot":[64],"this":[66],"field.":[67],"Deep":[68,108],"learning-based":[69],"imageomics":[70,76],"are":[72,148,177,186],"different":[73],"from":[74],"traditional":[75,161,174,202],"that":[78,197],"constructed":[80],"models":[81],"can":[82,135,211],"automatically":[83],"learn":[84],"to":[85,188,191,227,236],"extract":[86,228],"select":[88],"features":[90,172,185,215],"make":[92],"predictions,":[93],"thus":[94],"mining":[95],"information":[97],"images":[100],"more":[103],"comprehensive":[104],"deeper":[106,128],"way.":[107],"learning":[109,165,222,235],"general":[112],"term":[113],"large":[116],"class":[117],"algorithms,":[119],"not":[120],"particular":[122],"model,":[123],"as":[124,126,194],"long":[125],"neural":[129,150,225],"network":[130,151],"structure":[131],"used,":[133],"it":[134],"be":[136,189],"called":[137],"deep":[138,164,221],"learning.":[139],"Currently,":[140],"most":[142],"commonly":[143],"used":[144],"convolutional":[149,224],"(CNN),":[152],"sparse":[153],"auto-encoder":[154],"(SAE)":[155],"so":[157],"on.":[158],"Compared":[159],"histology,":[163],"has":[166,242],"following":[168],"advantages:":[169],"firstly,":[170],"generic":[178],"lack":[180],"specificity,":[181],"example,":[183],"some":[184],"difficult":[187],"applied":[190],"tumours":[192],"such":[193],"morphological":[199],"changes;":[200],"secondly,":[201],"requires":[205],"explicit":[206],"calculation":[207],"formulas,":[208],"therefore":[210,241],"only":[212],"define":[213],"these":[214],"way,":[219],"whereas":[220],"uses":[223],"networks":[226],"features,":[230,239],"through":[232],"data":[234],"obtain":[237],"strong":[244],"specificity.":[245]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
