{"id":"https://openalex.org/W4404916146","doi":"https://doi.org/10.1109/scisisis61014.2024.10759971","title":"On Colorectal-Cancer Grading Using Fine-Tuning Based Convolutional Neural Networks","display_name":"On Colorectal-Cancer Grading Using Fine-Tuning Based Convolutional Neural Networks","publication_year":2024,"publication_date":"2024-11-09","ids":{"openalex":"https://openalex.org/W4404916146","doi":"https://doi.org/10.1109/scisisis61014.2024.10759971"},"language":"en","primary_location":{"id":"doi:10.1109/scisisis61014.2024.10759971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis61014.2024.10759971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)","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/A5007560901","display_name":"Daiki Fujimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daiki Fujimoto","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo,Hyogo,Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001915732","display_name":"Naotake Kamiura","orcid":"https://orcid.org/0000-0001-7388-7624"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naotake Kamiura","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo,Hyogo,Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014209466","display_name":"Teijiro Isokawa","orcid":"https://orcid.org/0000-0001-6503-5907"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teijiro Isokawa","raw_affiliation_strings":["Graduate School of Engineering, University of Hyogo,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo,Hyogo,Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016517866","display_name":"Nobuyuki Matsui","orcid":"https://orcid.org/0000-0002-6145-6461"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuyuki Matsui","raw_affiliation_strings":["University of Hyogo,Hyogo,Japan"],"affiliations":[{"raw_affiliation_string":"University of Hyogo,Hyogo,Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072214554","display_name":"Tatsuaki Tsuruyama","orcid":"https://orcid.org/0000-0002-3118-2826"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuaki Tsuruyama","raw_affiliation_strings":["Kyoto University,Kyoto,Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University,Kyoto,Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007560901"],"corresponding_institution_ids":["https://openalex.org/I180941496"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38917747,"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":0.9276999831199646,"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":0.9276999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8173902034759521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659538745880127},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5768834948539734},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.5214899778366089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5023064613342285},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2163243591785431},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15073391795158386},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1211598813533783},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08028936386108398}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8173902034759521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659538745880127},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5768834948539734},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.5214899778366089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023064613342285},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2163243591785431},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15073391795158386},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1211598813533783},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08028936386108398},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scisisis61014.2024.10759971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scisisis61014.2024.10759971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&amp;amp;ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6000000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2092412094","https://openalex.org/W2108598243","https://openalex.org/W2527749662","https://openalex.org/W2949650786","https://openalex.org/W2963163009","https://openalex.org/W2982083293","https://openalex.org/W2985641961","https://openalex.org/W6713132643","https://openalex.org/W6725739302","https://openalex.org/W6737664043","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2064165679","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W1588461101","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Cancer":[0],"grading":[1,73,200],"is":[2,17,35,102,129],"a":[3,11,22,27,70],"major":[4],"challenge":[5],"for":[6,55,117],"pathologists.":[7,49,61],"In":[8,50,81,165],"pathological":[9],"examination,":[10],"portion":[12],"of":[13,33,48,72,119,143,174,185],"the":[14,31,42,53,82,132,136,167,172],"cancer":[15,34,86,121,202],"(tissue)":[16],"taken":[18],"and":[19,65,95,99,111,146,154,161,179,183,189],"observed":[20],"under":[21],"microscope":[23],"(biopsy)":[24],"to":[25,90,108],"make":[26],"definitive":[28],"diagnosis.":[29],"Since":[30],"malignancy":[32],"qualitatively":[36],"evaluated":[37],"by":[38],"pathologists'":[39],"visual":[40],"inspection,":[41],"evaluations":[43],"deeply":[44],"depend":[45],"on":[46],"skill":[47],"other":[51],"words,":[52],"result":[54],"some":[56],"tissue":[57],"often":[58],"varies":[59],"among":[60],"To":[62],"provide":[63],"reliable":[64],"stable":[66],"analysis,":[67],"we":[68],"propose":[69],"method":[71,195],"colorectal":[74,85,120,201],"cancer,":[75],"using":[76,126],"convolutional":[77],"neural":[78],"networks":[79,106],"(CNNs),":[80],"proposed":[83,194],"method,":[84],"images":[87,118,149,157,178,188],"are":[88,115],"presented":[89],"CNNs":[91],"such":[92],"as":[93,97],"ResNet":[94],"DenseNet":[96],"data,":[98],"fine":[100],"tuning":[101],"adopted.":[103],"The":[104,193],"constructed":[105],"correspond":[107],"cancer-grading":[109],"models,":[110],"grade":[112],"classification":[113,133],"experiments":[114],"conducted":[116],"tissues":[122],"with":[123,199],"three":[124],"grades":[125],"them.":[127],"It":[128],"established,":[130],"from":[131],"results,":[134],"that":[135],"AUC":[137,168],"exceeds":[138,169],"0.920":[139],"in":[140,171],"all":[141],"cases":[142,173],"Grade":[144,147,151,155,159,162,176,180,186,190],"1":[145,156,177],"2":[148,160,181,187],"versus":[150,158],"3":[152,163,191],"images,":[153,182],"images.":[164,192],"addition,":[166],"0.880":[170],"classifying":[175],"those":[184],"thus":[196],"copes":[197],"well":[198],"tissues.":[203]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
