{"id":"https://openalex.org/W3109712800","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263550","title":"Tumor-assisted Diagnosis based on U-Net Network","display_name":"Tumor-assisted Diagnosis based on U-Net Network","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3109712800","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263550","mag":"3109712800"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5101456696","display_name":"Juntong Chen","orcid":"https://orcid.org/0000-0001-9343-4032"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juntong Chen","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China,250022"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024406615","display_name":"Aizeng Cao","orcid":"https://orcid.org/0000-0001-6232-6522"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aizeng Cao","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China,250022"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395351","display_name":"Yiming Zhang","orcid":"https://orcid.org/0000-0001-6450-8485"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Zhang","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China,250022"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684243","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-4409-3777"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["University of Jinan,School of Information Science and Engineering,Jinan,China,250022"],"affiliations":[{"raw_affiliation_string":"University of Jinan,School of Information Science and Engineering,Jinan,China,250022","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101456696"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56577194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"39","issue":null,"first_page":"739","last_page":"742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9987999796867371,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/lymph-node-metastasis","display_name":"Lymph node metastasis","score":0.6062473654747009},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6003334522247314},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.598084568977356},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5258165597915649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5217103362083435},{"id":"https://openalex.org/keywords/metastasis","display_name":"Metastasis","score":0.5204830169677734},{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.4545445144176483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36106395721435547},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.35322052240371704},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.34769606590270996},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2200157642364502}],"concepts":[{"id":"https://openalex.org/C2992571226","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node metastasis","level":4,"score":0.6062473654747009},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6003334522247314},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.598084568977356},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5258165597915649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5217103362083435},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.5204830169677734},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.4545445144176483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36106395721435547},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.35322052240371704},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34769606590270996},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2200157642364502},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322291","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2592929672","https://openalex.org/W2899465276","https://openalex.org/W2917942747","https://openalex.org/W2945242125","https://openalex.org/W2963553763","https://openalex.org/W3087969957"],"related_works":["https://openalex.org/W2374019147","https://openalex.org/W2370262613","https://openalex.org/W4362606997","https://openalex.org/W4361825250","https://openalex.org/W4377092742","https://openalex.org/W2015369371","https://openalex.org/W4229447658","https://openalex.org/W3032784534","https://openalex.org/W2566344969","https://openalex.org/W1977499057"],"abstract_inverted_index":{"With":[0,24],"the":[1,4,10,18,25,53,59,68,75,100,103,107,112,124,137,142,148,156,164,177,189,203,205,232,243],"increase":[2],"of":[3,6,13,20,27,63,70,102,109,115,126,158,166,169,210,223],"number":[5],"patients":[7,91],"in":[8,90,123,145],"China,":[9],"diagnostic":[11],"efficiency":[12,60],"doctors":[14,34,48],"has":[15,22,95],"decreased,":[16],"and":[17,51,61,66,106,198,229],"rate":[19,69,222,234],"misdiagnosis":[21],"increased.":[23],"help":[26],"medical":[28],"imaging":[29],"intelligent":[30],"assisted":[31,42],"diagnosis":[32,39,43,54,152],"technology,":[33],"can":[35,154],"obtain":[36],"a":[37,194,208,220],"preliminary":[38],"through":[40],"an":[41,96,120],"system.":[44],"On":[45],"this":[46,73,146],"basis,":[47],"further":[49],"inspect":[50],"review":[52],"results,":[55],"which":[56],"greatly":[57],"improve":[58],"accuracy":[62,233],"cancer":[64,80,94],"diagnosis,":[65],"reduce":[67],"misdiagnosis.":[71],"In":[72],"paper,":[74,147],"system":[76,153,187,245],"focuses":[77],"on":[78,99],"rectal":[79,93,127,170],"to":[81,134,214],"do":[82],"research.":[83],"Whether":[84],"there":[85,130],"is":[86,119,131,176,246],"lymph":[87,116,138,159],"node":[88,117,139,160],"metastasis":[89,118,140,161],"with":[92],"important":[97,121],"impact":[98],"decision-making":[101],"treatment":[104,125],"plan":[105],"prognosis":[108],"patients,":[110],"so":[111],"accurate":[113],"judgment":[114],"step":[122],"cancer,":[128],"but":[129],"no":[132],"way":[133],"accurately":[135],"judge":[136],"before":[141],"operation.":[143],"Therefore,":[144],"proposed":[149,244],"U-net-based":[150],"tumor-assisted":[151],"evaluate":[155],"status":[157],"by":[162],"judging":[163],"characteristics":[165],"CT":[167],"images":[168],"cancer.":[171],"The":[172,186],"data":[173,181],"set":[174,184],"used":[175,207],"seventh":[178],"\"Teddy":[179],"Cup\"":[180],"mining":[182],"challenge-data":[183],"B.":[185],"uses":[188],"U-Net":[190],"network":[191],"structure,":[192],"using":[193],"cross-entropy":[195],"loss":[196],"function":[197],"Adam":[199],"optimizer.":[200],"After":[201],"adjusting":[202],"parameters,":[204],"experiment":[206],"piece":[209],"NVIDIA":[211],"TESLA":[212],"K80":[213],"train":[215],"for":[216,225],"50":[217],"rounds":[218],"at":[219,235],"learning":[221],"0.001":[224],"about":[226,236],"two":[227],"days":[228],"finally":[230],"kept":[231],"85%.":[237],"Obtained":[238],"results":[239],"have":[240],"demonstrated":[241],"that":[242],"promising.":[247]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}