{"id":"https://openalex.org/W4408086103","doi":"https://doi.org/10.1007/978-3-031-83274-1_5","title":"Head and\u00a0Neck Tumor Segmentation of MRI from Pre- and Mid-Radiotherapy with Pre-Training, Data Augmentation and Dual Flow UNet","display_name":"Head and\u00a0Neck Tumor Segmentation of MRI from Pre- and Mid-Radiotherapy with Pre-Training, Data Augmentation and Dual Flow UNet","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408086103","doi":"https://doi.org/10.1007/978-3-031-83274-1_5","pmid":"https://pubmed.ncbi.nlm.nih.gov/40291012"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-83274-1_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-83274-1_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-83274-1_5.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-83274-1_5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113380977","display_name":"Litingyu Wang","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":"Litingyu Wang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083648249","display_name":"Wenjun Liao","orcid":"https://orcid.org/0000-0001-9186-8312"},"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"]},{"id":"https://openalex.org/I4210118556","display_name":"Sichuan Cancer Hospital","ror":"https://ror.org/029wq9x81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118556"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Liao","raw_affiliation_strings":["Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China","institution_ids":["https://openalex.org/I4210118556"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015311773","display_name":"Shichuan Zhang","orcid":"https://orcid.org/0000-0001-7688-6870"},"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"]},{"id":"https://openalex.org/I4210118556","display_name":"Sichuan Cancer Hospital","ror":"https://ror.org/029wq9x81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118556"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichuan Zhang","raw_affiliation_strings":["Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China","institution_ids":["https://openalex.org/I4210118556"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029722566","display_name":"Guotai Wang","orcid":"https://orcid.org/0000-0002-8632-158X"},"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"]},{"id":"https://openalex.org/I4210162556","display_name":"Shangri-la Institute","ror":"https://ror.org/05e0fad36","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210162556"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guotai Wang","raw_affiliation_strings":["Shang AI Laboratory, Shanghai, China","University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8632-158X","affiliations":[{"raw_affiliation_string":"Shang AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4210162556"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029722566"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210162556"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":18.7143,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9872449,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"15273","issue":null,"first_page":"75","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10307","display_name":"Head and Neck Cancer Studies","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10307","display_name":"Head and Neck Cancer Studies","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8258485794067383},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8041912317276001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6016248464584351},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5760671496391296},{"id":"https://openalex.org/keywords/head-and-neck","display_name":"Head and neck","score":0.5129415392875671},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49838948249816895},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4638832211494446},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.44746148586273193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43655848503112793},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15411746501922607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258485794067383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8041912317276001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6016248464584351},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5760671496391296},{"id":"https://openalex.org/C3018411727","wikidata":"https://www.wikidata.org/wiki/Q3867488","display_name":"Head and neck","level":2,"score":0.5129415392875671},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49838948249816895},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4638832211494446},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.44746148586273193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43655848503112793},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15411746501922607},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-031-83274-1_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-83274-1_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-83274-1_5.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmid:40291012","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40291012","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":"Head and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, proceedings","raw_type":null},{"id":"pmh:oai:europepmc.org:10832330","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12022123","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12022123/pdf/nihms-2063608.pdf","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-83274-1_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-83274-1_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-83274-1_5.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G6371883573","display_name":null,"funder_award_id":"R01 CA257814","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G6540572259","display_name":null,"funder_award_id":"R01 DE028290","funder_id":"https://openalex.org/F4320337365","funder_display_name":"National Institute of Dental and Craniofacial Research"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337365","display_name":"National Institute of Dental and Craniofacial Research","ror":"https://ror.org/004a2wv92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408086103.pdf","grobid_xml":"https://content.openalex.org/works/W4408086103.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W1992295967","https://openalex.org/W2027590649","https://openalex.org/W2698963361","https://openalex.org/W2884585870","https://openalex.org/W2962914239","https://openalex.org/W3014974815","https://openalex.org/W3112701542","https://openalex.org/W3134805842","https://openalex.org/W3174605227","https://openalex.org/W4226084777","https://openalex.org/W4241488556","https://openalex.org/W4312418574","https://openalex.org/W4312465577","https://openalex.org/W4387211459","https://openalex.org/W4401749801","https://openalex.org/W4402352273","https://openalex.org/W6600281463"],"related_works":["https://openalex.org/W3197954266","https://openalex.org/W4389009345","https://openalex.org/W3047746737","https://openalex.org/W3021454079","https://openalex.org/W1522196789","https://openalex.org/W4287691568","https://openalex.org/W4220718606","https://openalex.org/W2085143385","https://openalex.org/W2005489729","https://openalex.org/W3090294949"],"abstract_inverted_index":{"Head":[0],"and":[1,4,13,18,35,39,58,76,85,108,124,139,164],"neck":[2,40],"tumors":[3],"metastatic":[5],"lymph":[6],"nodes":[7],"are":[8],"crucial":[9],"for":[10,32,105,148,162,166],"treatment":[11,36],"planning":[12],"prognostic":[14],"analysis.":[15],"Accurate":[16],"segmentation":[17,29,54,64,158],"quantitative":[19],"analysis":[20],"of":[21,37,49,55,65,160],"these":[22],"structures":[23],"require":[24],"pixel-level":[25],"annotation,":[26],"making":[27],"automated":[28],"techniques":[30],"essential":[31],"the":[33,47,53,63,78,86,128,133,151],"diagnosis":[34],"head":[38],"cancer.":[41],"In":[42,150],"this":[43],"study,":[44],"we":[45,68,94],"investigated":[46],"effects":[48],"multiple":[50],"strategies":[51],"on":[52,168],"pre-radiotherapy":[56],"(pre-RT)":[57],"mid-radiotherapy":[59],"(mid-RT)":[60],"images.":[61],"For":[62,91],"pre-RT":[66,110,122,163],"images,":[67,93],"utilized:":[69],"1)":[70],"a":[71,96,157],"fully":[72],"supervised":[73],"learning":[74],"approach,":[75],"2)":[77],"same":[79],"approach":[80],"enhanced":[81],"with":[82,112],"pre-trained":[83],"weights":[84],"MixUp":[87],"data":[88],"augmentation":[89],"technique.":[90],"mid-RT":[92,106,116,167],"introduced":[95],"novel":[97],"computational-friendly":[98],"network":[99],"architecture":[100],"that":[101],"features":[102],"separate":[103],"encoders":[104],"images":[107,111,123],"registered":[109],"their":[113,141],"labels.":[114],"The":[115],"encoder":[117],"branch":[118],"integrates":[119],"information":[120],"from":[121,136],"labels":[125],"progressively":[126],"during":[127],"forward":[129],"propagation.":[130],"We":[131],"selected":[132],"highest-performing":[134],"model":[135],"each":[137],"fold":[138],"used":[140],"predictions":[142],"to":[143],"create":[144],"an":[145],"ensemble":[146],"average":[147],"inference.":[149],"final":[152],"test,":[153],"our":[154],"models":[155],"achieved":[156],"performance":[159],"82.38%":[161],"72.53%":[165],"aggregated":[169],"Dice":[170],"Similarity":[171],"Coefficient":[172],"(DSC)":[173],"as":[174],"HiLab.":[175],"Our":[176],"code":[177],"is":[178],"available":[179],"at":[180],"https://github.com/WltyBY/HNTS-MRG2024_train_code.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
