{"id":"https://openalex.org/W4399072138","doi":"https://doi.org/10.1016/j.compbiomed.2024.108675","title":"Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test","display_name":"Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test","publication_year":2024,"publication_date":"2024-05-28","ids":{"openalex":"https://openalex.org/W4399072138","doi":"https://doi.org/10.1016/j.compbiomed.2024.108675","pmid":"https://pubmed.ncbi.nlm.nih.gov/38820779"},"language":"en","primary_location":{"id":"doi:10.1016/j.compbiomed.2024.108675","doi":"https://doi.org/10.1016/j.compbiomed.2024.108675","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2024.108675","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-2","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compbiomed.2024.108675","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Alessia De Biase","orcid":"https://orcid.org/0000-0003-0455-9795","observed_orcids":["https://orcid.org/0000-0003-0455-9795"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Alessia De Biase","raw_affiliation_strings":["Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands; Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands. Electronic address: a.de.biase@umcg.nl","Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-0455-9795","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands; Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands. Electronic address: a.de.biase@umcg.nl","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093753307","display_name":"Liv Ziegfeld","orcid":"https://orcid.org/0009-0004-2967-5295","observed_orcids":["https://orcid.org/0009-0004-2967-5295"]},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Liv Ziegfeld","raw_affiliation_strings":["University of Groningen, University of Groningen (RUG), 9700 AK, Groningen, the Netherlands","University of Groningen, University of Groningen (RUG), 9700 AK Groningen, the Netherlands"],"raw_orcid":"https://orcid.org/0009-0004-2967-5295","affiliations":[{"raw_affiliation_string":"University of Groningen, University of Groningen (RUG), 9700 AK, Groningen, the Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"University of Groningen, University of Groningen (RUG), 9700 AK Groningen, the Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005169233","display_name":"Nanna Maria Sijtsema","orcid":"https://orcid.org/0000-0001-6644-274X","observed_orcids":["https://orcid.org/0000-0001-6644-274X"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nanna Maria Sijtsema","raw_affiliation_strings":["Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-6644-274X","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035443301","display_name":"R.J.M. Steenbakkers","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Roel Steenbakkers","raw_affiliation_strings":["Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017351751","display_name":"Robin Wijsman","orcid":"https://orcid.org/0000-0001-5139-0908","observed_orcids":["https://orcid.org/0000-0001-5139-0908","https://orcid.org/0009-0000-3972-0564"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Robin Wijsman","raw_affiliation_strings":["Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028995506","display_name":"Lisanne Vania van Dijk","orcid":"https://orcid.org/0000-0002-9515-5616","observed_orcids":["https://orcid.org/0000-0002-9515-5616"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Lisanne V. van Dijk","raw_affiliation_strings":["Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002522655","display_name":"Johannes Albertus Langendijk","orcid":"https://orcid.org/0000-0003-1083-372X","observed_orcids":["https://orcid.org/0000-0003-1083-372X"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Johannes A. Langendijk","raw_affiliation_strings":["Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088560689","display_name":"Fokie Cnossen","orcid":"https://orcid.org/0000-0001-7435-4889","observed_orcids":["https://orcid.org/0000-0001-7435-4889"]},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Fokie Cnossen","raw_affiliation_strings":["Department of Artificial Intelligence, Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, University of Groningen (RUG), 9700 AK, Groningen, the Netherlands","Department of Artificial Intelligence, Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, University of Groningen (RUG), 9700 AK Groningen, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-7435-4889","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, University of Groningen (RUG), 9700 AK, Groningen, the Netherlands","institution_ids":["https://openalex.org/I169381384"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, University of Groningen (RUG), 9700 AK Groningen, the Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024082845","display_name":"Peter M. A. van Ooijen","orcid":"https://orcid.org/0000-0002-8995-1210","observed_orcids":["https://orcid.org/0000-0002-8995-1210"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter van Ooijen","raw_affiliation_strings":["Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands; Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-8995-1210","affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands; Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB, Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Data Science Center in Health (DASH), University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]},{"raw_affiliation_string":"Department of Radiation Oncology, University Medical Center Groningen (UMCG), 9700 RB Groningen, the Netherlands","institution_ids":["https://openalex.org/I1334415907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1334415907"],"apc_list":{"value":2640,"currency":"USD","value_usd":2640},"apc_paid":{"value":2640,"currency":"USD","value_usd":2640},"fwci":0.8629,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7078785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"177","issue":null,"first_page":"108675","last_page":"108675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9765999913215637,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9765999913215637,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.003700000001117587,"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":0.0034000000450760126,"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/head-and-neck-cancer","display_name":"head and neck cancer","score":0.9169999957084656},{"id":"https://openalex.org/keywords/tumor-segmentation","display_name":"tumor segmentation","score":0.8450000286102295},{"id":"https://openalex.org/keywords/probability-maps","display_name":"probability maps","score":0.9369999766349792},{"id":"https://openalex.org/keywords/gross-tumor-volume","display_name":"gross tumor volume","score":0.7440000176429749},{"id":"https://openalex.org/keywords/pet-ct","display_name":"PET/CT","score":0.9120000004768372},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"graphical user interface","score":0.8479999899864197},{"id":"https://openalex.org/keywords/radiotherapy-treatment-planning","display_name":"radiotherapy treatment planning","score":0.5040000081062317},{"id":"https://openalex.org/keywords/contouring","display_name":"contouring","score":0.6610000133514404},{"id":"https://openalex.org/keywords/thresholding","display_name":"thresholding","score":0.4650000035762787},{"id":"https://openalex.org/keywords/user-study","display_name":"user study","score":0.6079999804496765},{"id":"https://openalex.org/keywords/usability","display_name":"usability","score":0.6480000019073486},{"id":"https://openalex.org/keywords/explainability","display_name":"explainability","score":0.5270000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499271631240845},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.6768487691879272},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6012113094329834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5531727075576782},{"id":"https://openalex.org/C3018411727","wikidata":"https://www.wikidata.org/wiki/Q3867488","display_name":"Head and neck","level":2,"score":0.5445379018783569},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4509652256965637},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4230857789516449},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.4186168313026428},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.366299033164978},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12310859560966492},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10677441954612732},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06853911280632019},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0668555200099945},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.06417980790138245},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000072078","descriptor_name":"Positron Emission Tomography Computed Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"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":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006258","descriptor_name":"Head and Neck 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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1016/j.compbiomed.2024.108675","doi":"https://doi.org/10.1016/j.compbiomed.2024.108675","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2024.108675","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-2","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},{"id":"pmid:38820779","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38820779","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,"listed_in":[],"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":"Computers in biology and medicine","raw_type":"Journal Article"},{"id":"pmh:oai:pure.rug.nl:openaire/9f65278c-89d0-4391-8698-ae189186fee4","doi":null,"is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/9f65278c-89d0-4391-8698-ae189186fee4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Biase, A D, Ziegfeld, L, Sijtsema, N M, Steenbakkers, R, Wijsman, R, Dijk, L V V, Langendijk, J A, Cnossen, F & Ooijen, P V 2024, 'Probability maps for deep learning-based head and neck tumor segmentation : Graphical User Interface design and test', Computers in biology and medicine, vol. 177, 108675. https://doi.org/10.1016/j.compbiomed.2024.108675","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.rug.nl:openaire_cris_publications/b67382a6-fb53-458a-821d-2ea811b5f8b7","doi":null,"is_oa":false,"landing_page_url":"https://research.rug.nl/en/publications/b67382a6-fb53-458a-821d-2ea811b5f8b7","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"De Biase , A , Ziegfeld , L , Sijtsema , N M , Steenbakkers , R , Wijsman , R , van Dijk , L V , Langendijk , J A , Cnossen , F &amp; van Ooijen , P 2024 , ' Probability maps for deep learning-based head and neck tumor segmentation : Graphical User Interface design and test ' , Computers in biology and medicine , vol. 177 , pp. 108675 . https://doi.org/10.1016/j.compbiomed.2024.108675","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.compbiomed.2024.108675","doi":"https://doi.org/10.1016/j.compbiomed.2024.108675","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compbiomed.2024.108675","pdf_url":null,"source":{"id":"https://openalex.org/S44278595","display_name":"Computers in Biology and Medicine","issn_l":"0010-4825","issn":["0010-4825","1879-0534"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-2","ki-jl-1","medline","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers in Biology and Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332136","display_name":"Hanarth Fonds","ror":"https://ror.org/05nk01292"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W19399978","https://openalex.org/W1985816353","https://openalex.org/W2025172079","https://openalex.org/W2132264805","https://openalex.org/W3126790667","https://openalex.org/W3161558656","https://openalex.org/W3190706071","https://openalex.org/W3206830804","https://openalex.org/W4200066891","https://openalex.org/W4223979496","https://openalex.org/W4226225263","https://openalex.org/W4290473037","https://openalex.org/W4300687569","https://openalex.org/W4319337347","https://openalex.org/W4327770221","https://openalex.org/W6802725983","https://openalex.org/W6841841879"],"related_works":["https://openalex.org/W2022968056","https://openalex.org/W3180179400","https://openalex.org/W2118366689","https://openalex.org/W2154998455","https://openalex.org/W2116888309","https://openalex.org/W1649706580","https://openalex.org/W2477652530","https://openalex.org/W2039055059","https://openalex.org/W3195608031","https://openalex.org/W2381088774"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,29,84,169,178],"different":[2],"tumor":[3,26,54,66,97,114,146,159,193,250,266],"appearance":[4],"of":[5,23,31,37,40,43,49,75,80,86,120,215,265],"head":[6,121],"and":[7,14,45,103,122,134,166,175,224,238,257],"neck":[8,123],"cancer":[9,124],"across":[10],"imaging":[11],"modalities,":[12],"scanners,":[13],"acquisition":[15],"parameters":[16],"accounts":[17],"for":[18,68,96,186,222],"the":[19,24,32,38,41,46,73,141,163,205,213,232,262],"highly":[20],"subjective":[21],"nature":[22],"manual":[25,33],"segmentation":[27,98,116,267],"task.":[28],"variability":[30],"contours":[34,221],"is":[35],"one":[36,81],"causes":[39],"lack":[42],"generalizability":[44],"suboptimal":[47],"performance":[48],"deep":[50],"learning":[51],"(DL)":[52],"based":[53],"auto-segmentation":[55],"models.":[56,268],"Therefore,":[57],"a":[58,76,104,135,150,188,227,258],"DL-based":[59],"method":[60],"was":[61,89,132,137,153,172],"developed":[62,138],"that":[63,92,248],"outputs":[64],"predicted":[65],"probabilities":[67],"each":[69],"PET-CT":[70,118],"voxel":[71],"in":[72,112,158],"form":[74],"probability":[77,94,147,194,251],"map":[78],"instead":[79],"fixed":[82],"contour.":[83],"aim":[85],"this":[87],"study":[88,152,246],"to":[90,108,139,143,191,218,261],"show":[91],"DL-generated":[93,249],"maps":[95,195,252],"are":[99,253],"clinically":[100],"relevant,":[101],"intuitive,":[102],"more":[105],"suitable":[106],"solution":[107],"assist":[109],"radiation":[110,181],"oncologists":[111,182],"gross":[113],"volume":[115],"on":[117,231],"images":[119],"patients.":[125],"METHOD:":[126],"A":[127],"graphical":[128],"user":[129,142,151],"interface":[130,164],"(GUI)":[131],"designed,":[133],"prototype":[136,165,233],"allow":[140],"interact":[144],"with":[145,162,180],"maps.":[148],"Furthermore,":[149],"conducted":[154],"where":[155],"nine":[156],"experts":[157],"delineation":[160],"interacted":[161],"its":[167,235],"functionality.":[168],"participants'":[170],"experience":[171],"assessed":[173],"qualitatively":[174],"quantitatively.":[176],"RESULTS:":[177],"interviews":[179],"revealed":[183],"their":[184],"preference":[185],"using":[187],"rainbow":[189],"colormap":[190],"visualize":[192],"during":[196],"contouring,":[197],"which":[198,208],"they":[199],"found":[200],"intuitive.":[201],"They":[202],"also":[203],"appreciated":[204],"slider":[206],"feature,":[207],"facilitated":[209],"interaction":[210],"by":[211],"allowing":[212],"selection":[214],"threshold":[216],"values":[217],"create":[219],"single":[220,263],"editing":[223],"use":[225],"as":[226],"starting":[228],"point.":[229],"Feedback":[230],"highlighted":[234],"excellent":[236],"usability":[237],"positive":[239],"integration":[240],"into":[241],"clinical":[242],"workflows.":[243],"CONCLUSIONS:":[244],"This":[245],"shows":[247],"explainable,":[254],"transparent,":[255],"intuitive":[256],"better":[259],"alternative":[260],"output":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2025-10-10T00:00:00"}
