{"id":"https://openalex.org/W4393184764","doi":"https://doi.org/10.1109/tip.2024.3379902","title":"Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions","display_name":"Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393184764","doi":"https://doi.org/10.1109/tip.2024.3379902","pmid":"https://pubmed.ncbi.nlm.nih.gov/38530733"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3379902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3379902","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100363276","display_name":"Haipeng Li","orcid":"https://orcid.org/0000-0002-5148-4733"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haipeng Li","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3983-9287","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008298268","display_name":"Dingrui Liu","orcid":"https://orcid.org/0000-0001-8423-3722"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingrui Liu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8423-3722","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616981","display_name":"Yu Zeng","orcid":"https://orcid.org/0000-0002-8641-3310"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zeng","raw_affiliation_strings":["Glasgow College, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Glasgow College, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039387461","display_name":"Shuaicheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaicheng Liu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8815-5335","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101885726","display_name":"Tao Gan","orcid":"https://orcid.org/0000-0001-5652-2519"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Gan","raw_affiliation_strings":["West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5652-2519","affiliations":[{"raw_affiliation_string":"West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084502070","display_name":"Nini Rao","orcid":"https://orcid.org/0000-0001-7979-2917"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nini Rao","raw_affiliation_strings":["School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7979-2917","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101515211","display_name":"Jinlin Yang","orcid":"https://orcid.org/0000-0001-7266-2378"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlin Yang","raw_affiliation_strings":["West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077470082","display_name":"Bing Zeng","orcid":"https://orcid.org/0000-0002-4491-7967"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zeng","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4491-7967","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100363276"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":13.8716,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.99320867,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"2676","last_page":"2688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10619","display_name":"Esophageal Cancer Research and Treatment","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10619","display_name":"Esophageal Cancer Research and Treatment","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10307","display_name":"Head and Neck Cancer Studies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/deep-learning","display_name":"Deep learning","score":0.7506796717643738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7372002601623535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712955236434937},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6617962718009949},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5260926485061646},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5213093161582947},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.489601194858551},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.47302794456481934},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.4480017125606537},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.4387795627117157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43176084756851196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4187447428703308},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3270990252494812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15073761343955994}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7506796717643738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7372002601623535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712955236434937},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6617962718009949},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5260926485061646},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5213093161582947},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.489601194858551},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.47302794456481934},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.4480017125606537},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4387795627117157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43176084756851196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4187447428703308},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3270990252494812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15073761343955994},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004938","descriptor_name":"Esophageal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004938","descriptor_name":"Esophageal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D004938","descriptor_name":"Esophageal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3379902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3379902","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:38530733","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38530733","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4461046566","display_name":null,"funder_award_id":"62372091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5269616794","display_name":null,"funder_award_id":"61720106004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8356405191","display_name":null,"funder_award_id":"62271127","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8978917354","display_name":null,"funder_award_id":"B17008","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1979393293","https://openalex.org/W1996840446","https://openalex.org/W2008359794","https://openalex.org/W2077147525","https://openalex.org/W2077474654","https://openalex.org/W2109557414","https://openalex.org/W2116040950","https://openalex.org/W2118246710","https://openalex.org/W2124351162","https://openalex.org/W2125275574","https://openalex.org/W2133003941","https://openalex.org/W2139478903","https://openalex.org/W2285968993","https://openalex.org/W2288698772","https://openalex.org/W2396622801","https://openalex.org/W2560014990","https://openalex.org/W2560770519","https://openalex.org/W2593488799","https://openalex.org/W2732931556","https://openalex.org/W2763160469","https://openalex.org/W2806175674","https://openalex.org/W2884436604","https://openalex.org/W2903108490","https://openalex.org/W2957132740","https://openalex.org/W2962824366","https://openalex.org/W2962927567","https://openalex.org/W2963529609","https://openalex.org/W2963704386","https://openalex.org/W2963868681","https://openalex.org/W2964013315","https://openalex.org/W2969427054","https://openalex.org/W2978294504","https://openalex.org/W2997286550","https://openalex.org/W2999580839","https://openalex.org/W3034896357","https://openalex.org/W3039043475","https://openalex.org/W3109384313","https://openalex.org/W3135352607","https://openalex.org/W3143107425","https://openalex.org/W3160284783","https://openalex.org/W3169865585","https://openalex.org/W3175558068","https://openalex.org/W4241071816","https://openalex.org/W4287218132","https://openalex.org/W4296640326","https://openalex.org/W4297426812","https://openalex.org/W4299652825","https://openalex.org/W4308180443","https://openalex.org/W4382877880","https://openalex.org/W4384162024","https://openalex.org/W4390874575","https://openalex.org/W6631190155","https://openalex.org/W6679436768","https://openalex.org/W6682222085","https://openalex.org/W6717697761","https://openalex.org/W6795435739"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W4254054209","https://openalex.org/W4200334192","https://openalex.org/W4391935352","https://openalex.org/W2952835238"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,150],"of":[2,10,203],"lesions":[3],"is":[4,125,206],"crucial":[5],"for":[6,58,66],"diagnosis":[7],"and":[8,182,197,226],"treatment":[9],"early":[11],"esophageal":[12],"cancer":[13],"(EEC).":[14],"However,":[15],"neither":[16],"traditional":[17],"nor":[18],"deep":[19,55],"learning-based":[20],"methods":[21],"up":[22],"to":[23,128,141,147,161,174,211],"today":[24],"can":[25,137],"meet":[26],"the":[27,31,36,82,108,112,129,139,149,176,212],"clinical":[28,159,222],"requirements,":[29],"with":[30,158],"mean":[32,200],"Dice":[33,201],"score":[34,202],"-":[35,44],"most":[37],"important":[38],"metric":[39],"in":[40],"medical":[41],"image":[42,77,132,173],"analysis":[43],"hardly":[45],"exceeding":[46],"0.75.":[47],"In":[48,134],"this":[49,90],"paper,":[50],"we":[51,136],"present":[52],"a":[53,74,79,165,170,199,218],"novel":[54],"learning":[56,92],"approach":[57],"segmenting":[59],"EEC":[60,192],"lesions.":[61],"Our":[62,152],"method":[63],"stands":[64],"out":[65],"its":[67],"uniqueness,":[68],"as":[69,97,107,143,145,209],"it":[70,98,115],"relies":[71],"solely":[72],"on":[73],"single":[75,171],"input":[76,131],"from":[78,104],"patient,":[80],"forming":[81],"so-called":[83],"\"You-Only-Have-One\"":[84],"(YOHO)":[85],"framework.":[86],"On":[87,111],"one":[88],"hand,":[89,114],"\"one-image-one-network\"":[91],"ensures":[93],"complete":[94],"patient":[95],"privacy":[96],"does":[99],"not":[100],"use":[101],"any":[102],"images":[103],"other":[105,113],"patients":[106],"training":[109,140,177],"data.":[110],"avoids":[116],"nearly":[117],"all":[118],"generalization-related":[119],"problems":[120],"since":[121],"each":[122],"trained":[123],"network":[124],"applied":[126],"only":[127],"same":[130],"itself.":[133],"particular,":[135],"push":[138],"\"over-fitting\"":[142],"much":[144,207],"possible":[146],"increase":[148],"accuracy.":[151],"technical":[153],"details":[154],"include":[155],"an":[156,183,191],"interaction":[157],"doctors":[160],"utilize":[162],"their":[163],"expertise,":[164],"geometry-based":[166],"data":[167],"augmentation":[168],"over":[169,190],"lesion":[172],"generate":[175],"dataset":[178,193,227],"(the":[179],"biggest":[180],"novelty),":[181],"edge-enhanced":[184],"UNet.":[185],"We":[186],"have":[187],"evaluated":[188],"YOHO":[189],"collected":[194],"by":[195],"ourselves":[196],"achieved":[198],"0.888,":[204],"which":[205],"higher":[208],"compared":[210],"existing":[213],"deep-learning":[214],"methods,":[215],"thus":[216],"representing":[217],"significant":[219],"advance":[220],"toward":[221],"applications.":[223],"The":[224],"code":[225],"are":[228],"available":[229],"at:":[230],"https://github.com/lhaippp/YOHO.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}