{"id":"https://openalex.org/W4408199472","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906228","title":"Colorectal Cancer Segmentation and T-Stage Prediction on a New Rectal Tumor Dataset","display_name":"Colorectal Cancer Segmentation and T-Stage Prediction on a New Rectal Tumor Dataset","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4408199472","doi":"https://doi.org/10.1109/cisp-bmei64163.2024.10906228"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei64163.2024.10906228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061028099","display_name":"Xinjin Zhang","orcid":"https://orcid.org/0000-0001-6980-3096"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjin Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Chen","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422786","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-2149-384X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]},{"id":"https://openalex.org/I4210135742","display_name":"Shanghai First People's Hospital","ror":"https://ror.org/04a46mh28","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210135742"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China","Shanghai General Hospital,Radiology Department,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Shanghai General Hospital,Radiology Department,Shanghai,China","institution_ids":["https://openalex.org/I4210135742"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682408","display_name":"Qingguo Wang","orcid":"https://orcid.org/0000-0002-3875-8912"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]},{"id":"https://openalex.org/I4210135742","display_name":"Shanghai First People's Hospital","ror":"https://ror.org/04a46mh28","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210135742"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingguo Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China","Shanghai General Hospital,Radiology Department,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Shanghai General Hospital,Radiology Department,Shanghai,China","institution_ids":["https://openalex.org/I4210135742"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62115935,"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":0.9921000003814697,"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":0.9921000003814697,"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":0.9750999808311462,"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":0.9685999751091003,"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":0.654985249042511},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.6052247285842896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512622058391571},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4739287495613098},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4046080708503723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3688751459121704},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.32957229018211365},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.30680686235427856},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07436078786849976}],"concepts":[{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.654985249042511},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6052247285842896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512622058391571},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4739287495613098},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4046080708503723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3688751459121704},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32957229018211365},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.30680686235427856},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07436078786849976},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei64163.2024.10906228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei64163.2024.10906228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G321441545","display_name":null,"funder_award_id":"62301142,61702094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3607978867","display_name":null,"funder_award_id":"MIP20224","funder_id":"https://openalex.org/F4320322370","funder_display_name":"East China Normal University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322370","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2014274213","https://openalex.org/W2118246710","https://openalex.org/W2525466408","https://openalex.org/W2963803174","https://openalex.org/W2996290406","https://openalex.org/W2998623274","https://openalex.org/W3011383353","https://openalex.org/W3039450521","https://openalex.org/W3048653896","https://openalex.org/W3128646645","https://openalex.org/W4296121325","https://openalex.org/W4382182872","https://openalex.org/W4389150102"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2374019147","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W2370262613","https://openalex.org/W4362606997","https://openalex.org/W4324058133","https://openalex.org/W4361825250","https://openalex.org/W4377092742"],"abstract_inverted_index":{"Glioma":[0],"is":[1,28,74,85,95,108],"the":[2,38,50,56,82,100,105,127,135],"most":[3],"common":[4],"and":[5,34,54,76,121],"aggressive":[6],"brain":[7],"tumor":[8,106],"leading":[9],"to":[10,36,47,97],"a":[11,29,61],"very":[12],"short":[13],"life":[14,41],"expectancy":[15],"in":[16,141],"their":[17],"highest":[18],"grade.":[19],"Accurate":[20],"segmentation":[21,57,63,142],"of":[22,40,42,52,116],"multiple":[23],"gliomas":[24],"from":[25,103],"multimodal":[26],"MRI":[27,72,83],"prerequisite":[30],"for":[31,69],"medical":[32],"diagnosis":[33],"contributes":[35],"improving":[37],"quality":[39],"oncological":[43],"patients.":[44],"In":[45],"order":[46],"effectively":[48],"extract":[49],"characteristics":[51],"glioma":[53],"improve":[55],"accuracy,":[58],"we":[59],"propose":[60],"hierarchical":[62],"algorithm":[64,94,137],"based":[65],"on":[66],"superpixel":[67,88],"sclustering":[68],"HGGs.":[70],"The":[71,90],"image":[73,84],"enhanced":[75],"denoised":[77],"with":[78,87,110,126],"preprocessing":[79],"methods.":[80],"Then":[81],"segmented":[86],"approaches.":[89],"dynamic":[91],"region":[92,107],"merging":[93],"performed":[96],"progressively":[98],"integrate":[99],"neighbouring":[101],"superpixels,":[102],"which":[104],"extracted":[109],"random":[111],"forest.":[112],"Finally,":[113],"three":[114],"kinds":[115],"lesion":[117],"regions,":[118],"necrosis,":[119],"oedema,":[120],"enhancing":[122],"tissues":[123],"are":[124],"detected":[125],"K-means":[128],"clustering":[129],"method.":[130],"Experimental":[131],"results":[132],"show":[133],"that":[134],"proposed":[136],"has":[138],"an":[139],"improvement":[140],"accuracy.":[143]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
